There are 64 FP32 / 32 FP64 cores per SM, and 224 total texture units. The server should ship on Q3 2017, followed by 250W PCIe slot and half-height 150W versions of the card. Inside the GP100, those 56 active SMs house a total of 3584 FP32 cores, or 1792 FP 64 cores. The Tesla V100 will first ship in an Nvidia compute server- a DGX-1 rack-mount number packing eight cards. Clock speed reaches 1455MHz, while TDP is rated at 300W. Such power is paired with 16GB of 4096-bit HBM2 memory and a 2nd generation version of NVLink technology allowing transfer speeds of up to 300GB/s. In terms of raw numbers, the V100 features 7.5 TFLOP of double precision floating-point (FP64) performance, 15 TFLOPs of single precision (FP32) performance and 120 Tensor TFLOPs of mixed-precision matrix-multiply-and-accumulate. The company claims these boost performance by 4x over Pascal, and make the V100 superior to the Google dedicated tensor processing unit (TPU).
In addition the GPU carries 672 tensor cores (TCs)- a new kind of core designed for machine learning operations. As the successor to the current Pacal GPU flagship, the Tesla P100, it features a redesigned streaming architecture promising a 50% increase in efficiency compared to Pascal, enabling "major boosts in FP32 and FP64 performance in the same power envelope." Be that as it may, GP100 will be Nvidia’s chip that will go through the whole line-up, appearing in more products than ever before (we count six).Nvidia presents the Tesla V100- the first GPU based on the company's Volta architecture, packing 3840 CUDA cores and 15 billion transistors on a 815mm slab of silicon.īuilt using a 12-nanometer manufacturing process, the Tesla V100 is aimed at high performance computing applications. INT8 Tensor Core operations with sparsity deliver unprecedented processing power for DL inference, running 20x faster than V100 INT8 operations. Given that GTX Titan is expected to go against AMD’s Vega 10 – we might have to wait a long time for this one. FP64 Tensor Core operations deliver unprecedented double-precision processing power for HPC, running 2.5x faster than V100 FP64 DFMA operations. Maybe, but just maybe – we might see a potential introduction as early as PAX West 2016 in September. Quadro might have unlocked FP64 performance, but a GeForce-based part certainly will not – Nvidia will probably disable 900 or so FP64 units, keep the performance at 1/16, 1/32 or 1/64 rate, and use that power to clock the card probably to the level of GeForce GTX 1080, or even higher than that.Īrrival of Pascal-based GeForce GTX Titan card is not known yet, but we expect to see the card showing up for Holiday Season 2016.
TESLA P100 FP64 PROFESSIONAL
Furthermore, Quadro P4000 and P5000 8GB will probably be the professional versions of GeForce GTX 10, launching both for laptop and desktop workstations. We expect to see Quadro P6000 16GB being launched at SIGGRAPH, which will take place between July 24-28, 2016 in Anaheim Convention Center, California. The display controllers are essentially the same as the ones used on GeForce GTX 1070 and GTX 1080 (GP104 chip). The prototype carries four display outputs, and there are no DVI connectors – all you get is DisplayPort 1.4 and HDMI 2.0b. Still, we managed to see a prototype, a fully functional PCIe board which will come to market as Quadro P6000 and as GeForce GTX Titan (insert the random letter). What Tesla P100 for PCIe-Based Servers does not carry are the display outputs. All products utilize GPU Boost to temporarily achieve peak performance. The number splits into two figures – 2880 FP32 Single-Precision and 960 FP64 Double-Precision cores.
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GP100 physically carries 3840 CUDA cores. Both cards will feature identical number of chips, the reduction comes from yield-related decisions in order to maximize the number of usable packaged chips out of TSMC and partnering packaging facilities.įeature-wise, all products are identical.
TESLA P100 FP64 FULL
The board features lower clock for both GPU and the HBM2 memory, meaning only the Nvidia NVLink-based daughterboards will feature GP100 chip in its full performance capacity. There will be two P100 boards, one with 16GB and one with 12GB of HBM2 memory. Perhaps a better way to state it would be that for GPUs of this type, the 1:2 ratio reflects the ratio of peak theoretical performance for FP64:FP32 comparison. M2070, M2090, etc.) and it is applicable to Tesla P100. The GP100-based Tesla P100 is a quite long dual-slot card, which rivals dual-GPU Tesla K80 in its length. Note that this 1:2 ratio does not apply to all Tesla processors, but it is applicable to Fermi Tesla processors (e.g. This is not the rumored GP102 chip and confirms words spoken by Jen-Hsun Huang, co-founder and CEO of Nvidia Corporation – when he said that the company ‘taped out all the Pascals’: GP100, GP104 and GP106. At the International Supercomputing Conference (ISC), which takes place this week in Frankfurt, Nvidia finally unveiled the PCIe version of its largest chip, the GP100.
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