Nvidia Quadro RTX 4000 Mining: Hashrate | Ethereum | Benchmark | Profit (Review) - Page 13 of 17

NVIDIA Quadro RTX 4000 : Hashrate | Ethereum | Benchmark| Profit | Specification and CPU Optimal perfromance - Nvidia video cards are currently not in great demand from miners, since compared to AMD GPUs, they are much less powerful. The NVIDIA Quadro RTX 4000 graphics card with Turing graphics architecture is positioned as a super-fast professional solution, the price of which - $ 900 - is justified by its high performance indicators, but there are some subtleties here. Specifically, the RTX family-specific features such as Tensor and RT cores are in addition to architecturally focused solutions that are already taking the RTX 4000 to a much higher level of performance than its predecessor, the P4000. Nvidia quadro 4000 mining Last August at SIGGRAPH in Vancouver, it was hard to ignore NVIDIA RTX technology. It was almost impossible to pass by the stands of NVIDIA, as well as other companies demonstrating the possibilities of using RTX technologies. Including HP, which, using the example of style recognition, showed an example of the practical application of artificial intelligence technologies from NVIDIA. And promising real-time demonstrations of ray tracing capabilities made this show truly amazing. Common Questions About: Nvidia Quadro RTX 4000 mining Recommend Articles For You To Read: Quadro 4000 Mining Hashrate/ Profitability/ Power Consumption/ Overclocking Popular Related Search: DetailsSourceQuadro 4000 hashrate Accordingly, mining on these video adapters is much more expensive. For example, the most powerful chipsets from Nvidia deliver about 150 KH / s, while AMD boasts 1500 KH / s. Nvidia quadro 4000: Drivers | Benchmark | Mining Hashrate | Gaming TestQuadro RTX 4000 HashrateWith 7.1 TFLOPS, however, the FP32's performance is below the 7.5 TFLOPS of the GeForce RTX 2070 (test). Mathematically, this results in a clock rate of around 1,540 MHz, the RTX 2070 clocks at 1,620 MHz. Quadro RTX 4000 VS RTX 2070: Hashrate Memory| Power Consumption (Who Win)Nvidia quadro rtx 4000 mining performanceThe TU106 GPU is fully equipped on both the Quadro RTX 4000 and the GeForce RTX 2070 with 2,304 FP32 ALUs, 288 tensor cores and 36 ray tracing cores. The performance from the RTX ...Article AboveNvidia quadro 4000 hashrate ethereumif you have an hashrate running at 36.92 MH/s hashrate on the ETH - Ethash (Phoenix) algorithm. Nvidia quadro 4000: Drivers | Benchmark | Mining Hashrate | Gaming Test Nvidia Quadro RXT 4000 Mining Profitability If you are thinking about how profitable you can be with the NVIDIA Quadro RTX 4000 video card the a faire estimate can be more than 95 USD monthly income...Contain Within ArticleHow to increase Hashrate - Quadro 4000 Accordingly, mining on these video adapters is much more expensive. For example, the most powerful chipsets from Nvidia deliver about 150 KH / s, while AMD boasts 1500 KH / s. How to increase hashrate: Overclocking | Unlock LHR (Best) GMiner 2.69 (Mining) Quadro rtx 4000 Power Consumption The Quadro P4000 card has 5.3 TFLOPS processing power, and in this indicator alone, the new RTX 4000 card is 34% faster and at the same time not much more expensive.Contain Within ArticlesRecommend Articles For You To Read: Quadro RTX 4000 Mining Hashrate/ Profitability/ Power Consumption/ Overclocking Nvidia quadro 4000 RTX hashrate ethereum Nvidia has expanded its range of professional graphics cards with the Quadro RTX 4000 model. The new design will join the earlier Turing generation accelerators: Quadro RTX 8000, Quadro RTX 6000 and Quadro RTX 5000. You can use the calculate below to get a up to date version information on what would be the Nvidia quadro 4000 hashrate for ethereum. Ethereum mining calculator Nvidia Quadro RTX 4000 Mining: Specifications Professional graphics cards (in particular, the Quadro line from nVidia) are designed for use in applications that require high accuracy and reliability of rendering complex graphic content. These can be design or engineering programs like CATIA, LightWave, Maya, Pro / ENGINEER, SolidWorks. And the performance of any professional video card in such applications can be head and shoulders above that of a gaming card. The nVidia Quadro RTX 4000 boasts support for the proprietary NVIDIA nView utility and NVIDIA Mosaic technology. The first is for convenient desktop management, and the second is for deploying one application across multiple screens at once. Despite the fact that this video card uses active cooling, the adapter functions almost silently. Therefore, you can work with graphics and animation in an atmosphere of complete comfort, without being distracted by unnecessary noise. GPU NVIDIA Quadro RTX4000AppointmentFor computerLow profile NoExternal graphics card NoGraphics card typeprofessionalTechnical process12 nmProcessor seriesnVidia Quadro RTXGPUQuadro RTX 4000Number of stream processors2034Universal conveyors 2304Video memory size8192MbVideo memory typeGDDR6Video memory bus width256 BitRAM size8 GBMaximum supported resolution7680x4320API supportDirectX 12, OpenGL 4.5Connection type PCI-E 16xMaximum resolution 7680 x 4320Connection typePCI-EConnection interfacePCI-E 16x 3.0Image output ports1x USB Type-CHDMI connectorNoDVI connectorNoDisplayPort outthere isVGA outNoCooling systemActive (radiator + fan)Cooling system featuresSingle-slot cooling systemConnectors for additional power supply of the video cardeightType of packagingRetailOperating system supportWindows 8.1PeculiaritiesTDP - 160WLength242Contents of deliveryVideo card, DP to DVI adapter, DP to HDMI adapterSupplyRetailPackage size18 x 33 x 9.50 cmShipping weight1.35 kgProducts webpagewww.pny.comPrice classPremium Nvidia Quadro 4000 Mining: Specifications So, the new card received 2304 CUDA cores, 8 GB of GDDR6 memory, a 256-bit bus, 288 tensor cores, 36 RT cores and a performance of 7.1 TFLOPS in FP32 mode. As for the acceleration of ray tracing, here the figure is 6 GigaRays / s, which is similar to the Quadro RTX 5000 model . The Quadro RTX 4000 has 36 RT cores to accelerate ray tracing, 288 tensor cores to accelerate the AI and 8 GB of GDDR6 memory to accommodate large data sets. It is equipped with three DisplayPort 1.4 ports with HDR support and has b (which can also control a DisplayPort panel via an included USB Type-C to DP adapter) for connectivity with VR-HMDs (Head-Mount Displays) of the next generation. In addition, in conjunction with Quadro Sync II, you can use large digital signage solutions with higher resolution and at lower costs. Outstanding application performance Experience fast, interactive and professional application performance.Latest NVIDIA Turing GPU architecture and ultra-fast graphics memory New RT cores for real-time ray tracing 36 RT cores accelerate photo-realistic ray tracing.NVIDIA RTX technology enables real-time rendering.RTX-OPS: 43 TRays Cast: 6.0 Giga Rays / Sec FP32 / FP16 / INT8 performance Peak FP32 Performance: 7.1 TFLOPSPeak FP16 Performance: 14.2 TFLOPSPeak INT8 Performance: 28.5 TOPS Tensor cores accelerate AI workflows 288 tensor cores accelerate AI development and trainingDeep Learning TFLOPS: 57.0 Tensor TFLOPSThe outstanding inference performance is ideal for on-site use Next generation VR support VirtualLink simplifies HMD cablingAdvanced rendering and shading functions for immersive VR PNY Technologies offers a standard 3-year warranty, specialized Quadro Field Application Engineers and direct technical support hotlines for pre- and after-sales support. Mining Profitability With NVIDIA Quadro RTX 4000 If you are thinking about how profitable you can be with a NVIDIA Quadro RTX 4000 video card the a fair estimate can be more than 95.89 USD monthly income if you have an hashrate running at 36.92 MH/s hashrate on the ETH - Ethash (Phoenix) algorithm. AlgorithmHashrateMonthly IncomeMonthly BTC IncomeMonthly USD IncomeETH - Ethash (Phoenix)36.92 MH/s0.02141930 ETH0.00156864 BTC95.89 USDRVN - KawPow (NBMiner)16.89 MH/s471.95351104 RVN0.00107605 BTC65.77 USDBTG - ZHash (EWBF)≈55.41 H/s≈0.82815898 BTG≈0.00086650 BTC≈52.96 USDETC - Ethash (Phoenix)37.06 MH/s0.88822484 ETC0.00077720 BTC47.50 USDProfitability estimate - RTX 4000 ≈ There isn't enough data provided to make an accurate evaluation. RTX 4000 - What About A little How It would Perform in Gaming? The inclusion of Tensor and RT cores in Quadro RTX video processors has significantly accelerated computations. This is true for deep learning algorithms and other AI technologies, and the benefits of real-time ray tracing can be used by applications that support the latest version of the NVIDIA OptiX engine. Availability of Quadro RTX graphics cards from the outset, i.e. since the release of the first three models, it left much to be desired. Many of our readers have reported that they had to wait for their order longer than the time specified by the seller, and we are honestly not sure if the situation has improved much since then. Perhaps it will improve with the advent of the RTX 4000, but it is too early to draw conclusions. NVIDIA Quadro RTX 4000 The RTX 4000 model, as you can see from this article, was our first graphics card in the Quadro RTX series. It has a real advantage over the previous generation Pascal cards, which were released even before the serial use of the Tensor and RT cores. Tensors alone can dramatically increase the performance of 16-bit floating point calculations, which is especially important in deep learning tasks. In this article, we'll compare the performance of an RTX 4000 versus the increasingly aging Quadro P4000, which came out two years ago and is in the same price bracket as the RTX 4000.QUADRO RTX4000 Performance of an RTX 4000 versus the increasingly aging Quadro P4000 Features of NVIDIA Quadro Professional Graphics CardsVideo cardNumber of coresBase frequency,MHzMaximumcomputingpowerFP32, TFLOPSMemory capacity, GBThe throughputcapacity ofthe memory, GB / sTDP, WPrice, $GV1005120120014.932 88701858999RTX 80004608144016.348 5624?10000RTX 60004608144016.324 56242956300RTX 50003072135011.216 54482652300RTX 40002304?7.18 1416160900TITAN V5120120014.912 46532502999P60003840141711.824 64322504999P5000256016078.916 62881801999P4000179212275.38 3243105799P2000102413703.05 314075399P100064013541.94 38047299P62051213541.42 38040199P60038413541.22 36440179P40025610700.62 332thirty139Notes (edit)Memory: 1 GDDR6; 2 GDDR5X; 3 GDDR5; 4 HBM2; 5 GDDR6 (ECC); 6 GDDR5X (ECC); 7 GDDR5 (ECC); 8 HBM2 (ECC)Architecture: P Pascal; V Volta; RTX Turing Maximum computing power of NVIDIA Quadro Professional Graphics Cards RTX 4000 We do not have accurate base clock data for the RTX 4000, but we do know its maximum processing power when performing 32-bit floating point operations - 7.1 TFLOPS, which means the level of performance corresponding to the level of the GeForce RTX 2070 in the gaming segment. From this it follows that the RTX 4000 GPU can provide excellent gameplay at 1080p and 1440p resolutions, and in some games even at 4K resolutions. Quadro RTX cards with larger numbers offer even better performance but are also more expensive; the apotheosis of this is the $ 10K RTX 8000 card with a mind-boggling 48GB GDDR6 ECC memory. If you have higher demands on speed and memory, or need above-average performance, then you should look at the RTX 5000 - if your budget allows. The Quadro P4000 card has 5.3 TFLOPS processing power, and in this indicator alone, the new RTX 4000 card is 34% faster and at the same time not much more expensive. True, the increase in performance comes with a slightly higher power consumption, but the TDP of 160 W allows the new 4000-series card to remain in the single-slot category. The power connector is located at the rear end (not the top), which makes this card suitable for relatively small cases. Unlike previous generations of graphics cards in the Quadro RTX series, the transition from Pascal architecture to Turing architecture does not just mean a noticeable increase in speed (and efficiency), but, thanks to the inclusion of Tensor and RT cores in the GPU, essentially translates RTX models into a separate league for market of video cards. As we mentioned, Tensor kernels are of great practical importance for the development of AI and deep learning technologies, and RT kernels provide significant advantages in implementing real-time ray tracing in applications that use this technology. The table below summarizes the performance characteristics of the Quadro RTX models available today. For Turing processors, NVIDIA introduced a new parameter - RTX-OPS: the higher the value, the higher the potential capabilities of the video card. Gaming Performance parameters of NVIDIA Quadro RTX graphics cards: TLOPS Performance parameters of NVIDIA Quadro RTX graphics cardsVideo cardNumber of RT coresRTX-OPSRays Cast(number of raysper second)FP16INT8DL(deeplearning)RTX 80007284 T10 Giga Rays / s32.6 TFLOPS206.1 TOPS130.5 TFLOPSRTX 60007284 T10 Giga Rays / s32.6 TFLOPS206.1 TOPS130.5 TFLOPSRTX 50004862 T8 Giga Ray / s22.3 TFLOPS178.4 TOPS89.2 TFLOPSRTX 40003643 T6 Giga Rays / s14.2 TFLOPS28.5 TOPS57 TFLOPS Gaming Performance parameters of NVIDIA Quadro RTX graphics cards: TLOPS All Pascal video cards, with the exception of the GP100, suffer from problems with half (FP16) and double (FP64) computational precision: the performance here does not at all correspond to the level required for tasks based on these types of computations. Turing cards, even of the highest class, also have limited processing power in terms of double precision, but in terms of FP16 they have reached a qualitatively new level: 14.2 TFLOPS RTX 4000 cards already give a noticeable advantage in the corresponding tasks. AMD Vega graphics cards have been offering high performance half-precision computing for two years now, but in deep learning tasks, they have a hard time competing with RTX cards due to the lack of Tensor cores or any equivalent. AMD says that similar technologies will also be implemented in their future GPUs, so we are waiting for the answer from the "red" team. Currently, NVIDIA RTX technology supports a number of software packages that we are just getting started with. This review includes benchmarks showing the advantages of the Turing architecture itself, but as for the capabilities of the Tensor and RT cores themselves, they will be analyzed later in our next reviews. Test PC configuration and test suite Next, we will look at the results of testing video cards. Our test suite includes a wide variety of scenarios - from rendering to computational tasks - and contains both synthetic benchmarks and tests with real applications, for example, from Adobe and Autodesk. We have selected seven graphics cards for this review, but the main focus will be on comparing Quadro cards of two neighboring generations: P4000 and RTX 4000. It will also be interesting to compare them with the AMD Radeon Pro WX 8200 graphics card, which went on sale last fall at a comparable price ($ 999) ... Test PC configuration and test suite - Nvidia Quadro 4000 Mining CPUIntel Core i9-7980XE (18 cores; 2.6 GHz)MotherboardASUS ROG STRIX X299-E GAMINGMemoryHyperX FURY (4x 16GB; DDR4-2666 16-18-18)GraphicsAMD Radeon VII (16 GB; Press Driver from 22.01)AMD Radeon Pro WX 8200 (8 GB; 18.Q4.1)NVIDIA GeForce RTX 2080 Ti (11 GB; 417.71)NVIDIA TITAN Xp (12 GB; 417.71)NVIDIA Quadro RTX 4000 (8 GB; 412.16)NVIDIA Quadro P6000 (24 GB; 412.16)NVIDIA Quadro P4000 (8 GB; 412.16)Audio systemBuilt-inStorage deviceSSD Kingston KC1000 960 GB M.2Power SupplyCorsair 80 Plus Gold AX1200FrameCorsair Carbide 600C Inverted Full-TowerCooling systemAll-in-one liquid cooler NZXT Kraken X62Operating systemWindows 10 Pro version 17763 (1809)Test PC configuration and test suite - Nvidia Quadro 4000 Mining All of our benchmarks can be divided into three large groups. The first includes tests from the Adobe Premiere Pro and MAGIX Vegas Pro packages for transcoding video files using AVC and HEVC codecs, as well as tests from the Sandra package showing performance in financial and scientific calculations and in cryptographic tasks. The second group includes renders: the popular open design package Blender, as well as LuxMark, Radeon ProRender and especially for NVIDIA video cards - Redshift, V-Ray and OctaneRender. The third group includes tests from the SPECviewperf package for rendering modeled objects, as well as tasks from popular design applications - CATIA, SolidWorks, Siemens NX, Creo and 3ds Max and Maya from Autodesk. So let's go. Adobe Premiere Pro and MAGIX Vegas Adobe Premiere Pro and MAGIX Vegas The Premiere Pro and Vegas results require some additional clarification: they are taken from the Radeon VII graphics card review, and we were going to quickly add the results of the P4000 to them - until similar results were published elsewhere. However, we did not, and this point needs to be clarified. In our last Premiere Pro test, only the top tier cards were tested, and all results are roughly at the same level. This makes the subsequent results predictable, but not very interesting, so for the future we decided to revise the testing methodology. We plan to add a video playback test (which takes a lot of time) to the testing program in Premiere Pro; such a test will be more revealing than simple transcoding. In the meantime, the GPU is faced with the task of transcoding video to a lower resolution, the results of high-end video cards will be approximately the same (compare, for example, RTX 4000 vs. P4000 vs. TITAN Xp vs. WX 8200). One of the important aspects of comparing professional and gaming video cards: professional applications (both optimized for AMD hardware and NVIDIA) often mean 10-bit color depth, which only professional video cards are guaranteed to provide. For example, working in Photoshop with 10-bit color depth requires a professional card, although many other applications run well on game cards as well. The 10-bit color requirement applies to Premiere Pro as well, but it is not absolute. In general, it is almost impossible to find reliable information about 10-bit color depth support for gaming and professional cards. Probably, it was intended. In MAGIX Vegas, there were no problems with the discernibility of results, but something went wrong on the NVIDIA side (possibly due to the drivers). After the Radeon VII review was published, we spent some time refining the testing program to include a video playback test. However, this time we were unable to conduct it due to the fact that MAGIX Vegas cannot work correctly on NVIDIA video cards using common FX filters, for example, Median and LUT, and this problem occurs both during transcoding and when playing video files. Below are the results of a simple transcoding without using filters. These may seem like yesterday's results, but keep in mind that we didn't use FX filters. In the future, the results of this test will show more relevant performance. The Radeon VII card performs so well in Vegas that it seems to be by far the best choice in this category of graphics cards. But this result was achieved against the background of not very successful performance of NVIDIA cards. In general, Vegas is one of those programs where you never know what the result will be with performance. Previously, according to the results of previous versions, NVIDIA video cards were in the lead, but now NVIDIA and AMD have swapped places. There will be much more information here in future reviews. At the moment, the conclusion suggests itself that the main problem is that the NVIDIA hardware in Vegas for some reason does not work in the best way; in addition, we need to modernize the program and testing methodology in Premiere Pro. Of course, this will take quite a long time, but we plan to do this at the earliest opportunity. Sandra: cryptography, financial and scientific computing Sandra: cryptography, financial and scientific computing Those who use processors to encrypt data should be pleased with the fact that each new generation - both CPU and GPU - is doing it faster and faster. The above results clearly show that NVIDIA Turing video cards have a real advantage here, with the 2080 Ti at the top. The Quadro RTX 4000 looks rather modest against the background of the Radeon VII, especially in terms of hashing. But compared to the previous generation Quadro P4000 card, the new NVIDIA card offers significantly more performance. However, if you are serious about encryption, VII is the best solution for you today. In a test of financial and economic calculations, the NVIDIA Turing architecture again shows its strength, outperforming the Radeon VII by about 45%. It is worth noting here that VII offers very good performance in double precision computing (FP64), which also allows for financial calculations, but I would bet that those who use GPUs for solving such serious problems prefer specially designed video cards (Instinct, Tesla). And the test closes this group, in which Radeon VII once again demonstrates its superpower. We all remember very well how AMD tried to position this card as a gaming card. However, it is obvious that it is ideal for solving computational tasks - sometimes even better than NVIDIA cards, and during this review we will have an opportunity to make sure of this. V-Ray, Redshift, OctaneRender, Blender, LuxMark and Radeon ProRender V-Ray by Chaos Group Since our V-Ray project is not intended for Radeon and Radeon Pro cards, we use this program to test only Quadro and GeForce video cards. The NVIDIA Quadro RTX 4000 card is making giant strides over the P4000, cutting render times by almost half. I don't think RT cores designed for ray tracing can be used in any way in traditional rendering, so this achievement should be attributed solely to the new NVIDIA Turing architecture. As far as RTX is concerned, RT kernels can actually be used to solve noise reduction problems using machine learning algorithms, but this is currently only used in interactive design, not in finite element rendering. That the RTX 4000 is faster than the P4000 is not surprising, but another thing is interesting: the RTX 4000 also outperforms the top-end graphics card of the previous generation, the Quadro P6000. The P6000 GPU has three times the video memory, which makes the RTX 4000's progress in pure performance even more impressive. The RTX 2080 Ti result gives us some idea of what to expect from the Quadro RTX 6000. Redshift Redshift In V-Ray, the benefits of RTX graphics cards are brought to light thanks to the built-in noise reduction algorithm, which is not yet available in Redshift (built-in noise reduction support should appear in version 3.0). And, while the V-Ray results highlight the tremendous advantage of Turing maps over Pascal maps, in Redshift, this progress is not so obvious. The RTX 4000 score is close to that of the RTX 2080 Ti, and we see this as a sign that our benchmark may not be delivering the workload needed to test these cards. However, the difference between these powerful cards and the previous generation titanium TITAN Xp is quite obvious. And in our main competition - RTX 4000 vs. P4000 - the new card demonstrates significantly higher speed. Octane by OTOY Octane by OTOY As with Redshift, there is no dedicated RTX support in the OTOY benchmarks yet. More precisely, it will appear in the Octane 2019 version, the release date of which has not yet been determined. And whenever that happens, this OTOY benchmark will determine the performance metrics of graphics cards in both RTX mode and "normal" mode. When it comes out and hits platforms that meet the appropriate system requirements, the results of the RTX-enabled Octane should show a significant acceleration in the rendering process. But even in the absence of the RTX option, Turing graphics cards perform very well: the RTX 4000 is not far behind the previous generation P6000 top card and is significantly ahead of the P4000. Blender Unlike rendering, the rendering performance of modeling objects in Blender is qualitatively dependent on the resolution: when you switch to a higher resolution, it drops dramatically. At 1080p, the RTX 4000 does a good job, ranking second behind the 2080 Ti gaming card, which is packed with more CUDA cores (not to mention more VRAM). And that same speed was enough for the RTX 4000 to outperform the TITAN Xp. And at 4K resolution, difficulties arose, and for all video cards: even the 2080 Ti showed a semi-acceptable level of performance. However, it should be noted here that the LookDev mode is not one of the frequently used ones, so the low frame rate should not scare anyone. If such performance was observed in the mode of wireframe or solid volumetric modeling of an object, then this would be a problem. But all video cards coped with these modes, that is, they were able to provide frame rates in the region of 60 FPS even at 4K resolution. In rendering tasks, the more powerful the video card, the faster the result is achieved. Unsurprisingly, the 2080 Ti takes the top spot. And in general, the final distribution of results here exactly corresponds to that which could be assumed a priori, based only on the technical characteristics of video cards. Once again, the RTX 4000 outperforms the previous generation P4000 by a very large margin. LuxMark Once again, the RTX 4000 outperforms the previous generation P4000 by a very large margin. LuxMark With the release of the Radeon VII card, AMD has announced performance increases specifically in LuxMark. It's strange that this is rarely remembered, because the results obtained clearly explain why AMD advertised this test: VII takes first place here, although the championship is not absolute. The 2080 Ti handled the more complex hotel scene better than the VII; this hints that the edge for a Radeon card is not guaranteed in all cases. This result is all the more interesting since AMD has already observed a similar alignment - when the Ryzen processors in KeyShot did an excellent job of rendering a car (a relatively simple object), but in rendering the scene with the interior they lagged noticeably behind Intel. Something in our interiors is not dancing with AMD processors. Radeon ProRender In Radeon ProRender, to the great regret of AMD, NVIDIA video cards demonstrated excellent results. Judging only by them, the Turing architecture provides an unconditional leadership in rendering: the RTX 4000 card turns out to be faster than the technically more powerful Radeon VII. We do not want to say that based on these results, we should abandon AMD cards, since rendering performance is not everything. But if you plan on using interactive rendering, then you need the fastest graphics card possible - as far as your budget allows. Rendering: SolidWorks, CATIA, Siemens NX, PTC Creo, 3ds Max and Maya SolidWorks SolidWorks So, we proceed to a group of tests with unpredictable results. In gaming testing, the ratio of the results of the tested video cards from game to game by and large does not change, except for special cases of optimization of specific games for the hardware of a particular manufacturer. Gamers generally don't need to worry about some graphics card manufacturer not supporting some of the latest AAA games, but that's not the case with design apps. Above are the results of modeling the work of SolidWorks in SPECviewperf, and here the RTX 4000 wedges between the Quadro P6000 and the Radeon Pro WX 8200. close to each other. That is, any professional video card will work well enough here. SolidWorks RealView Off SolidWorks RealView Off SolidWorks RealView On SolidWorks RealView On In February, we got a piece of the pie in the form of a SolidWorks license, and we were able to do more in-depth testing - in a real application. In general, we wanted to see how the “real” results compare with the results obtained in SPECviewperf, and, frankly, did not expect that in a real application there would be such a gap between NVIDIA and AMD cards: This first table shows the results of running SolidWorks with the RealView option enabled. Using this option gives a more realistic image (a more complete picture of the modeled object); this is achieved through improved rendering of shadows and reflections (examples are given above). Since our SolidWorks license was limited to a validity period, we didn't have the opportunity to dig deeper into the problem and figure out why the Radeon cards lagged so far behind NVIDIA cards here - the difference in results is simply striking. I will not be entirely accurate if I say that Radeon cards perform very poorly here, because the WX 8200 still produces an average of 69 FPS. It's just that if even a hearse like the Quadro P2000 outruns it, it means that NVIDIA cards have a clear advantage here. We get about the same ratio of results in the mode with the RealView option turned off, but the absolute performance indicators here turn out to be quite acceptable even for the least powerful Radeon cards. Interestingly, the TITAN Xp GPU, which NVIDIA has addressed to workstations, does a very bad job at SolidWorks. But you can still run the RealView mode on it, and game cards cannot. If in the future we again have the opportunity to conduct testing in licensed SolidWorks, we will investigate the issues that have arisen here in more depth. CATIA The CATIA package does not contain any specific optimizations intended for professional video cards, so everything is simple here: the faster (more powerful) the video card, the better the performance. Of course, CATIA is one of those applications that by default assume the use of a "pro" -class video card, which guarantees maximum stability, but students sitting on gaming video cards do not mind this. Siemens NX Siemens NX is arguably the most interesting test in this collection, because it sent gaming video cards to the very bottom of the tournament table. Even the fastest NVIDIA gaming card failed here. For some reason, the AMD Radeon VII card performed significantly better, but compared to professional video cards, this is still zero level. All professional cards performed very decently, and the NVIDIA RTX 4000 card, as you would expect, significantly outperformed its predecessor, the P4000. Creo by PTC Creo by PTC Creo is another application that optimizes rendering for professional graphics cards; thanks to this, a card like the WX 8200 outperforms the technically faster Radeon VII here. As for the "green" ones, the RTX 4000 takes place just behind the P6000, and it does not lose so much. In addition, this new generation card once again demonstrates a significant performance boost over its direct predecessor, the P4000. 3ds Max and Maya Both AMD and NVIDIA attach great importance to 3ds Max and Maya as popular design software packages, and fortunately, gaming video cards from both companies are practically on a par with professional GPUs in terms of performance. Professional cards are better suited for a number of specialized functions and guarantee high stability, but in general, for these applications, both types of GPU can be considered equivalent. Even with complex scenes, any of these video cards handles without much difficulty; but where the higher level (number) of the video card gives a tangible advantage, it is in interactive rendering with rendering. Building wireframes and solid volume models does not always place such high demands on the GPU, but if you are going to use interactive rendering, the faster the graphics card runs, the healthier your nervous system will be. Visualization in Medical and Energy The Energy test results once again confirm the superiority of the RTX 4000 over its predecessor, revealing those specific advantages that the corresponding NVIDIA architectural solutions provide, which are only part of all the innovations of the Turing project. However, all of this was not enough to beat the Radeon VII in the Medical test - even by the 2080 Ti. Perhaps this success of the Radeon VII is due to the fact that this card has super-fast memory with a bandwidth of 1 TB / s. Conclusion The NVIDIA Quadro RTX 4000 card has proven itself to be a fast single-slot graphics card that significantly outperforms its predecessor, the Quadro P4000. In most benchmarks, the RTX 4000 outperforms the P4000 by a wide margin, in some cases delivering roughly 2x the performance boost - for example, in hashing. In tests with visualization of simulated objects, in some cases, a very large increase in speed is also observed. In the SolidWorks application, the RTX 4000 card was one of the fastest and even the fastest, outperforming the previous generation top card with Pascal Quadro P6000 architecture. Interestingly, according to the results of SolidWorks modeling in SPECviewperf, the P6000 card took first place, showing that a 24 GB framebuffer is also sometimes useful. The PTC Creo and Siemens NX benchmarks also show clear progress: the results obtained here may serve as a strong reason to replace the previous generation P4000 card (not to mention the older ones) with the RTX 4000. Even in the Energy benchmark in SPECviewperf we see a significant improvement in performance, and While this may not be critical for many ProViz users, the score is still on the scoreboard - the Turing architecture offers real benefits. For professional cards, pure performance isn't everything, but in the Quadro RTX series, even the most advanced features are closely tied to performance. RTX functionality significantly accelerates such complex and resource-intensive processes as AI noise reduction and, of course, ray tracing. Moreover, these two tasks can be technically solved simultaneously. For software developers, this means more flexibility in exploiting the potential that new hardware offers. We didn't just go beyond standard FP32 computing. FP16 half-precision computing is fully available to the new cards, and Tensor cores significantly accelerate computation in areas where the power of CUDA cores is no longer enough. A few more words on the topic of specific RTX "chips": we have already said that OTOY and Redshift will add built-in RTX support to their renders in the near future, and Solid Angle plans to do the same in Arnold. SolidWorks and SolidWorks Visualize will also receive RTX versions, and this should speed up the rendering process in the latest application before our eyes. However, one thing confuses us: if we focus on taking advantage of ray tracing and AI noise reduction to the fullest, then the RTX 4000 series card is not the most suitable option for large projects. Including due to the relatively small volume of the framebuffer - 8 GB. Alternatively, consider the RTX 5000, which has a third more cores and twice the memory. But, of course, only if you are not stopped by the significantly higher price of RTX 5000. For typical projects in applications such as SolidWorks Visualize (see figure below), the size of the RTX 4000 framebuffer will most likely not be a big obstacle, but, of course, today 8 GB is only the most necessary minimum. SolidWorks Visualize Will Support NVIDIA RTX Technology If we talk about the closest competing analog, the Radeon Pro WX 8200, then the RTX 4000 outperforms it in most tests, but in some cases the AMD card also shows a solid advantage, and this again leads us to the already familiar conclusion that the specific load is the determining factor here. In our GEMM matrix multiplication test, the AMD card performed very well, relevant for scientific calculations, but the NVIDIA Turing card took a convincing revenge in the FFT test. In cryptography, these cards compete with varying success, with the NVIDIA card being faster at encryption using the stronger SHA-512 algorithm. In some tests, NVIDIA cards win by default - these are Redshift, Octane and V-Ray, which were developed with CUDA cores in mind and in some cases only support CUDA. The exception here is V-Ray, which can also run on AMD cards thanks to OpenCL support, but apart from that we are going to do a similar test render for AMD cards, which will work the same (or almost the same) with NVIDIA cards. Therefore, we ask V-Ray and AMD card users to share their experiences with us. Another interesting point is the excellent results of NVIDIA RTX cards in Radeon ProRender, so good that it's amazing how this is possible: RTX 4000 left AMD WX 8200 and Radeon VII cards far behind. Since we have long been addicted to ProRender, we will continue to use the new versions of this software package to test video cards and track all changes. All in all, we can say that the NVIDIA Quadro RTX 4000 model is an advanced, balanced and very fast professional graphics card. Since NVIDIA also released this card to undercut AMD, it should come as no surprise that the RTX 4000 costs only $ 900, while the WX 8200 costs all $ 999. For the price point, the RTX 4000 wins, but again, the choice of graphics card depends a lot on the kind of main workload. High results in benchmarks and applications that you are not working with should not be a decisive factor when choosing a specific graphics card model. Accordingly, mining on these video adapters is much more expensive. For example, the most powerful chipsets from Nvidia deliver about 150 KH / s, while AMD boasts 1500 KH / s. True, Nvidia has a top model Tesla S2070, which gives 700 hash, but its cost makes many miners abandon the idea of mining on it. Since Nvidia cards are not particularly profitable, the only way to mine a decent amount of crypto coins on them is to organize a mining farm from inexpensive but relatively effective models. Common Questions About: Nvidia Quadro 4000 mining Quadro 4000 - What does a mining farm consist of? In fact, the farm consists of the same components as a classic PC, but with some differences: The motherboard should be one of the top ones, and have at least 4 PCI slots for video adapters.A processor is not really needed for crypto mining on a video card, so the cheapest of all compatible with the selected video cards is usually chosen.In fact, there is only one requirement for DDR RAM: 4 GB or more. Otherwise, RAM can be the cheapest and simplest, since it does not participate in the mining process in any way.The hard drive doesn't matter either. In fact, it is only needed to store wallets and install the operating system, so instead of a hard drive, even a flash drive will be enough.The power supply is one of the most important elements of the system; you need to choose it carefully and carefully. The main characteristic of a power supply unit is power, and you need to select it with a play of 150-200 W, not forgetting that power is consumed not only by the video card, but also by other elements of the system.The video card directly calculates the hash functions of cryptocurrency blocks. This is the most expensive and basic component of the farm, so you will have to choose it carefully.The cooling system is required to remove the heated air from the video adapters. In this case, the distance between graphic adapters must be at least 8 centimeters. In addition to conventional cooling with the help of fans, water CO can be organized, it is more efficient, but technically more problematic. Of the unusual systems for reducing the level of heating, oil can be distinguished, when all equipment is in a tank with technical oil, and some manage to use vegetable oil for these purposes. Overclocking the video adapter As mentioned above, Nvidia video cards are low power at a rather high cost. Therefore, the only way to "squeeze" decent performance out of these chips is overclocking (overclocking). At the same time, for each card, the most appropriate frequency and graphics core and memory parameters are selected individually. These characteristics will affect both the mining efficiency and the stability of the entire system. It should also be remembered that overclocking increases the temperature of the equipment and increases power consumption. The more you overclock the video card, the more powerful CO will be required. Compatibility If the farm consists of several video cards of different models, then conflicts may appear during setup and overclocking, which will lead to a drop in mining speed and the performance of the entire system. In addition, the combination of the selected hardware affects the hash rate. If you choose the right components (motherboard and RAM), you can increase the mining speed. Since there are essentially no standardized mining solutions, the same values of video cards often become ineffective when installed in a different configuration. Features of the organization of a mining farm When creating a farm, you need to do some serious calculations in order to choose the most profitable option. It is necessary to calculate what all the components will cost, and select them in the ideal ratio of profitability to energy consumption. You will also have to calculate the electrical power consumed by the entire farm, and calculate what the electricity costs will be per day. After all the calculations, a conclusion should be made about the payback and timing. It all looks rather complicated, but there is good news: there are a huge number of online calculators on the Internet that allow you to calculate the profitability of a mining farm and other characteristics based on given data. The most advanced calculators take into account changes in the rate of the mined cryptocurrency in real time and constantly adjust their forecast accordingly. NVIDIA QUADRO RTX 4000 Won't Be Worth Buying! WHY? https://www.youtube.com/watch?vPbwswqIKWEo What are the alternatives? If you want to start steadily and start mining cryptocurrency without unnecessary stress, then perhaps you should use the services of cloud services? They work by analogy with cloud hosting or file storage: you just rent a remote service, use the facilities and get your profit. In addition, you get the opportunity to earn that currency, which is simply impossible to extract at home: Comparison of Nvidia graphics cards As we wrote below, Nvidia adapters are considered very unprofitable for mining cryptocurrencies, and AMD cards practically ousted them from the market. Nvidia for mining is bought now either by beginners who just want to indulge in crypto mining at low speeds, or by those who are well versed in overclocking and know how to compose a mining farm from numerous video cards of different configurations. Below we provide a summary table with the characteristics of video cards from this manufacturer, sorted for convenience by power. Notes to the table: C - video processor frequency, M-memory frequency, V-voltage, W-power consumption. Up to 100 kHash / sec As you can see, the GTX 9800 is a very weak video card in terms of mining - only 2 kHash / sec. Such indicators cannot even be taken seriously. The most powerful in this weight class are the GTX 275, 460 and 650. 100-200 kHash / sec The most profitable series can be called 560, 660 and 670. Tesla K40c model with 188 kHash / sec and 732 MHz video processor frequency can also be of interest. 200-500 kHash / sec Of this table, the most interesting are the various modifications of the GTX Titan and 780. The most powerful in terms of kHash is the Nvidia Quadro K6000 video card with 485 kilohash per second. If you can boast of a computer with a good graphics card, then you can start mining bitcoins right now. However, in order to increase profits and do it professionally, we recommend purchasing several video cards (optimally from 4 to 6) and building your own farm for mining cryptocurrency. By installing several video adapters, you can increase the level of computer performance, which will count much faster. it is video cards that provide all the computing power for mining (for most algorithms). Note that, taking into account the current prices for video cards in 2019, cloud GPU mining became more profitable, which is more profitable than buying your own equipment, much more flexible in the amount of investment and does not require maintenance of your farms. We made a detailed review about cloud mining of cryptocurrency with a rating of the best services based on the results of the last few years. How much can you earn with one video card? Having some idea of how to make money on a video card, you should know which video adapters are best for mining. An excellent option would be AMD Radeon 5 series and above. Since the total amount of your earnings will depend on the performance of this device, it is recommended to acquire flagships. https://www.youtube.com/embed/Pzyp1nmSGZk It is believed that when using AMD graphics cards, the computing speed is slightly higher than that of analogs under the nVidia brand. But it strongly depends on the calculation algorithm on which each specific cryptocurrency is built. Accordingly, the more calculations per second, the more significant your earnings. It is important to remember that if you decide to mine using one, even the most top-end video card, its performance will not be enough. You will spend a lot of time before you get 1 BTC. For example, if the GPU Radeon HD 7970 is involved, your result will be about 555 MH / s, and the daily production will be at the level of 0.0031 BTC, or 80 cents. It should be borne in mind that during mining, electricity consumption increases. Therefore, this method of mining cryptocurrency is considered impractical. Which video card to choose - performance on different algorithms Knowing how to make money on a video card, the future miner is faced with a difficult choice between one or another video adapter, which must be purchased for a homemade farm. We wrote in more detail about choosing the optimal GPU adapter model here, be sure to read the material before making a purchase decision. Here we have selected the best options, taking into account the cost-benefit ratio. For ease of perception, the information will be presented in the form of a table. https://www.youtube.com/embed/iSpoOPem1eU The models shown in the table pay off much faster than their counterparts and are, judging by the experts' reviews, the best choice for mining in 2019. For example, GTX 1070/1060 and RX 480/470 will pay off in 5-6 months. Also, do not forget that it is becoming more difficult to mine cryptocurrency every day, but its value is constantly growing, which allows you to maintain the necessary balance, attracting new people to mining. The most popular cryptocurrency mining solutions are from the Red camp - AMD. This is due to the design features of video cards, so users primarily buy solutions such as Radeon RX 470 and higher. Nevertheless, today the lag in power for mining video adapters from Nvidia is not colossal, so such popular models as GTX 1060 and above are flying like hot cakes. Calculating the payback of video cards - Profitability GPU: Payback: Excluding e / energy: Radeon RX 470 183 days. (16% per month) 145 days. (20.6% per month) Radeon RX 480 193 days (15.5% per month) 156 days (19.2% per month) Geforce GTX 1060 154 days (19.4% per month) 130 days (23% per month) Geforce GTX 1070 185 days ( 16.2% per month) 162 days (18.5% per month) Radeon Fury X 278 days (10.7% per month) 213 days (14% per month) As you can see from the table above, the most profitable for mining at the moment are the Nvidia Geforce GTX 1060 3gb and Radeon RX 470 4gb video cards. It is worth noting that this is true only at the moment and on the currently most profitable Equihash algorithm, what will happen next, what algorithms will appear in the future and how these video cards will behave on them is not known. If you are interested in mining profitability right now, then you can choose Geforce GTX 1060 if you are a fan of Nvidia or Radeon RX 470 if you prefer a GPU from AMD. To calculate the profitability of mining, cryptocurrency mining calculators for GPUs are used (the data in them can vary greatly even within one day, since the rate can change dramatically). Overclocking video cards to increase the hash rate when mining Improving the performance of GPU cards for mining is an integral part of setting up a farm. Overclocking can be done using special programs running from the operating system, for this we recommend MSI Afterburner. Also, overclocking a video card can be achieved by flashing the BIOS. We tell you in detail about all overclocking options here, there are also video instructions for AMD and Nvidia cards (the principle of overclocking is slightly different). Also on our website are detailed reviews of the most popular GPUs for cryptocurrency mining in 2019: Nvidia Quadro 4000 Graphics card Garbage Problem Issue Solved https://www.youtube.com/watch?vphxqRXcOdis Special graphics cards for mining from Nvidia Nvidia has prepared 2 graphics adapters that have been specifically designed for cryptocurrency mining. Both cards are based on existing Pascal chips, but have been modified for more efficient and efficient mining on Nvidia GTX chips. These graphics cards with GP104-100 and GP106-100 chips are provided by Nvidia Authorized Partners. It is worth noting that the warranty for these video cards is only 3 months . The launch of Nvidia GTX GPUs for mining is expected in mid-June, but the timing may vary from vendor to vendor. On the P104-100 graphics chip, the performance / watt is claimed to increase 30% over the GTX 1060 3GB. And the P106-100 chip gives an increase of 10% in comparison with the same video card. Both video cards are produced without video interfaces. https://www.youtube.com/embed/f6XKcV9cpe8 The Nvidia P104-100 graphics card uses the same design as the Nvidia GeForce GTX 1080. But it provides much more performance per watt of consumed power, as the adapter is specially modified for mining with Nvidia GTX. Cards from different manufacturers come with different chip frequencies, while this base model runs at a base frequency of 1607 MHz. The overclocking frequency is 1733 MHz with 10 GB / s GDDR5X memory bandwidth and 256-bit bus width. Power is supplied via a single 8-pin connector, and the power consumption is approximately 180W. The base model of the graphics adapter is slated for shipping at a price of $ 350, while the model from the manufacturer Inno3D is announced at a price of $ 370 - Inno3D P6D-N104-1SDN P104-100 Twin X2 8GB GDDR5X. These prices are significantly less than their in-game counterparts ($ 499). The claimed mining performance on the Nvidia GTX P104-100 will be about 60 MH / s, but this performance will be achieved only after updating the adapter BIOS to the new firmware. The Nvidia P106-100 model uses the same design as the Nvidia GeForce GTX 1060. This made it possible to configure the graphics adapter for mining with Nvidia GTX much more efficiently. The adapter operates at a base frequency of 1506 MHz, a turbo frequency of 1708 MHz, and a memory bandwidth of 8 GB / s GDDR5 with a 192-bit bus. Power will be supplied through the 6-pin connector and the power consumption will be 120W. The base model in the US will be priced at $ 200, which is $ 49 cheaper than the GeForce GTX 1060 6GB gaming counterpart. Here is the price of a specific Inno3D adapter (N5G-N106-4SDN P106-100 Twin X2 6GB GDDR5) - $ 235. The American electrical giant PNY Technologies, which is the official supplier of professional video cards Nvidia Quadro to Russia, has released its own version of the accelerator called Pny Quadro Gp100 16 Gb. At launch, the product was announced as the world's most powerful graphics workstation and computing card. Equipped with advanced visualization and modeling capabilities to meet the most demanding professional requirements, the card allows application developers to create massive and complex environments, ensuring high speed in solving the most complex computational problems. The presence of NVLink interfaces determines the ability to combine two cards with a total memory capacity of 32 Gb. Thanks to the combination of technical characteristics, the Pny Quadro Gp100 16 Gb demonstrates outstanding performance, 9% faster than its closest competitor AMD Radeon PRO WX 9100. Specifications PNY Quadro GP100 16 Gb The graphics card is based on the GP100 core containing 3580 FP32 / 1792 FP64 CUDA microprocessors. A distinctive feature of the Pny Quadro Gp100 16 Gb is the combination of a high-speed Nv interface> Standardized in 2016 as JESD235a second generation memory with high bandwidth HBM2 (High Bandw> allowing 2x the standard 16MB memory capacity. Experienced miners note a decrease in the performance of HBM2 memory in crypto mining when the temperature rises above 65 degrees. This is due to the adjustment of the thermal protection algorithm of microcircuits to increase delays with increasing memory temperature, which reduces the operating speed even while maintaining the same frequency. The dual-slot card reaches 267mm in length and connects via PCI-Express 3.0 x16 via one 6-pin and one 8-pin cable, delivering 235W of power. the cooling system is represented by one centrifugal turbofan. The main set of characteristics includes: architecture - Pascal;core - GP100;technical process - 16 nm TSMC;core area - 610 mm;number of shader processors - 3584;the number of transistors - 15.3 million;base frequency of the core - 1380 MHz;core frequency in Boost mode - 1441 MHz;texturing speed - 322.8;the number of texture units - 298;raster operations pipelines (ROP) - 128;floating point performance - 10.329 Gflops;memory type - HBM2;memory size - 16 Gb;memory frequency - 1800 MHz;memory bus width - 4096 bit;memory bandwidth - 921.6 Gb;video connectors - 1 x DVI, 4 x DisplayPort;interface - PCI-Express 3.0 x16;dimensions - 267 mm x 2 slots;additional power connectors - 1 x 6 pin, 1 x 8 pin;API support - OpenGL 4.5, Open CL, DirectX 12, Vulkan 1.0, DirectCompute;TDP - 235 W;The recommended power supply is 600W. In the Quadro Gp100 16 Gb, developers have combined the capabilities of modeling, HPC, rendering and design. For professional designers and engineers, the card allows you to create realistic visualizations during the design process, including virtual reality in workflows. The GPU provides over 20 teraflops of 16-bit floating point computing. FP32 single precision performance is 10 teraflops. The graphics accelerator supports technologies: Nvidia SLI, Quadro Sync, Quadro Mosaic, Quadro Digital Video Pipeline, DirectCompute, OpenCL, Nvidia GPUDirect. The introduction of Pascal architecture into graphics accelerators was a breakthrough for all product classes. Due to the transition to the 16 nm process, there has been an increase in computing power by adding additional CUDA cores, clock frequencies have seriously increased. The use of GDDR5 with 16n prefetch allowed to increase the memory bandwidth. The result of this innovation is performance that significantly surpasses previous models. The Pny Quadro Gp100 16 Gb model is focused on meeting the needs of designers, rendering, multimedia processing and scientific computing in the workstation segment. The card is equipped with four DisplayPort outputs and allows you to connect up to 4 5K displays with a resolution of 5.120 x 2.880 pixels at 60 Hz or 4 4K displays with a 120 Hz refresh rate. The accelerator also supports 10-bit color output. The video card comes in a set, supplemented with accompanying documentation, DVI-D-SUB adapters, 8 pin to 2 x 6 pin, DisplayPort-DVI, 1 x Stereo Connector Bracket. PNY Quadro GP100 16 Gb video card in mining The cost of the Pny Quadro Gp100 16 Gb accelerator in 2018 is about 550 thousand rubles, which makes the card unprofitable for crypto mining. Meanwhile, stock mining hash rates show 42.6 MH / s for Ethereum, 1.58 Gh / s for Siacoin, 670 H / s for Monero, 409 Sol / s for Zcash. In Boost mode, the card produces + 100 / + 130 Mh / s. It is obvious that a professional accelerator is focused on industrial applications, scientific and commercial development. Mining with Pny Quadro Gp100 16 Gb is interesting, rather, from an experimental point of view. Building mining farms based on the card is also extremely inefficient, primarily due to the high price. More justified in this regard would be buying a GTX 1080ti. If you find an error, please select a piece of text and press Ctrl + Enter .

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