Nvidia Quadro RTX 4000 Mining: Hashrate | Ethereum | Benchmark | Profit (Review)

Nvidia quadro 4000 mining - Hashrate

Performance of an RTX 4000 versus the increasingly aging Quadro P4000

Features of NVIDIA Quadro Professional Graphics Cards
Video cardNumber of coresBase frequency,
MHz
Maximum
computing
power
FP32, TFLOPS
Memory capacity, GBThe throughput
capacity of
the memory, GB / s
TDP, WPrice, $
GV1005120120014.932 88701858999
RTX 80004608144016.348 5624?10000
RTX 60004608144016.324 56242956300
RTX 50003072135011.216 54482652300
RTX 40002304?7.11416160900
TITAN V5120120014.912 46532502999
P60003840141711.824 64322504999
P5000256016078.916 62881801999
P4000179212275.33243105799
P2000102413703.0314075399
P100064013541.938047299
P62051213541.438040199
P60038413541.236440179
P40025610700.6332thirty139
Notes (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.

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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.

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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.


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