NVIDIA Formally Announces PCIe Tesla V100: Available Later This Year

Tuesday, June 20th, 2017 - GPUs, Teknologi

NVIDIA Formally Announces PCIe Tesla V100: Available Later This Year

Similar to last year, at this year's International Supercomputing Conference (ISC) NVIDIA has announced and detailed a PCI Express version of their latest Tesla GPU accelerator, the Volta-based V100. The conference itself runs from June 19 to 22, and with several speakers from NVIDIA scheduled for events tomorrow, NVIDIA is set to outline its next-generation efforts in HPC and deep learning with Volta.


With Volta discussed and described at their GPU Technology Conference in mid-May, NVIDIA upped the ante in terms of both features and reticle size: V100 is 815mm2 of custom TSMC 12FFN silicon, chock full of tensor cores and unified L1 cache per SM, along with many more fundamental – and as of yet not fully revealed – microarchitectural changes.

Like the previous Pascal iteration, the Tesla V100 PCIe offers a more traditional form factor as opposed to NVIDIA’s own mezzanine-type SXM2 form factor. This allows vendors to drop Tesla cards in traditional PCIe systems, making the cards far more accessible to server builders who don't want to build around NVIDIA's SXM2 connector or carrier board. The tradeoff being that the PCIe cards have a lower 250W TDP, and they don't get NVLink, instead relying on just PCIe.

NVIDIA Tesla Family Specification Comparison
 Tesla V100
Tesla V100
Tesla P100
Tesla P100
CUDA Cores5120512035843584
Tensor Cores640640N/AN/A
Core Clock??1328MHz?
Boost Clock(s)1455MHz~1370MHz1480MHz1300MHz
Memory Clock1.75Gbps HBM21.75Gbps HBM21.4Gbps HBM21.4Gbps HBM2
Memory Bus Width4096-bit4096-bit4096-bit4096-bit
Memory Bandwidth900GB/sec900GB/sec720GB/sec720GB/sec
L2 Cache6MB6MB4MB4MB
Half Precision30 TFLOPS28 TFLOPS21.2 TFLOPS18.7 TFLOPS
Single Precision15 TFLOPS14 TFLOPS10.6 TFLOPS9.3 TFLOPS
Double Precision7.5 TFLOPS
(1/2 rate)
(1/2 rate)
(1/2 rate)
(1/32 rate)
Tensor Performance
(Deep Learning)
GPUGV100 (815mm2)GV100 (815mm2)GP100 (610mm2)GP100 (610mm2)
Transistor Count21B21B15.3B15.3B
Form FactorMezzanine (SXM2)PCIeMezzanine (SXM2)PCIe
Manufacturing ProcessTSMC 12nm FFNTSMC 12nm FFNTSMC 16nm FinFETTSMC 16nm FinFET

On the surface, the addition of tensor cores is the most noticeable change. To recap, tensor cores can be liked to a series of unified ALUs that are able to multiply two 4×4 FP16 matrices together and subsequently add that product to an FP16 or FP32 4×4 matrix in a fused multiply add operation, as opposed to conventional FP32 or FP64 CUDA cores. In the end, this means that for very specific kinds (and specifically programmed) workloads, Volta can take advantage of the 100+ TFLOPS capability that NVIDIA has tossed into the mix.

As for the specific specifications of the PCIe Tesla V100, it's similarly configured to the SXM2 version, getting the same number of CUDA cores and memory capacity, however operating at a lower clockspeed in-line with its reduced 250W TDP. Based on NVIDIA's throughput figures, this puts the PCIe card's boost clock at around 1370MHz, 85MHz (~6%) slower than the SXM2 version.

Interestingly, unlike the Tesla P100 family, NVIDIA isn't offering a second-tier PCIe card based on salvaged chips; so this generation doesn't have an equivalent to the 12GB PCIe Tesla P100. NVIDIA's experience with GP100/interposer/HBM2 assembly as well as continuing production of HBM2 has likely reduced the need for memory-salvaged parts.

Finally, PCIe-based Tesla V100 accelerators are “expected to be available later this year from NVIDIA reseller partner and manufacturers,” including Hewlett Packard Enterprise, which will offer three different PCIe Volta systems.

Source: NVIDIA

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