A model new Tesla graphics card has been quietly added to the lineup.
NVIDIA Tesla V100s
NVIDIA Tesla are computing oriented devices outfitted with graphics processors. What you obtained’t uncover on Tesla assortment are present connectors, as these taking part in playing cards cannot be used as every single day desktop video taking part in playing cards – they’re meant to be put in in clusters and supercomputers. These days NVIDIA started in order so as to add further variants and title these taking part in playing cards ‘Tensor Core Processors’, as they not solely present CUDA cores however as well as Tensor cores.
The model new Tesla V100s is a sooner mannequin of V100. It has a greater clock core frequency and as well as sooner HBM2 memory. By default, the V100s has 32GB memory, which was solely an risk for the distinctive V100 16GB. NVIDIA Tesla V100s nonetheless is determined by Volta construction with GV100 GPU and 5120 CUDA cores. That’s a 12nm GPU.
That’s, in fact, a sixth variant of the V100, because the distinctive assortment was offered in two memory configurations: 16GB and 32GB. The gathering can be divided into PCIe and SMX2 variations. The gathering moreover has a FHHL variant (full prime & half-length) with a TDP of 150W, nonetheless information on this SKU is restricted.
There’s no phrase on pricing, nonetheless it is anticipated to worth 1000’s of {{dollars}} (the V100 non-S at current retails at around 5850 USD).
| Tesla V100 Sequence | ||||
|---|---|---|---|---|
| VideoCardz.com | Tesla V100 SMX2 | Tesla V100 FHHL PCIe | Tesla V100 PCIe | Tesla V100s PCIe |
| 12nm FF GV100 | 12nm FF GV100 | 12nm FF GV100 | 12nm FF GV100 | |
| CUDA Cores | ||||
| Max FP32 Compute | ||||
| Improve Clock | ||||
| Max. Memory Bandwidth | ||||
| Memory Clock | ||||
| Memory | 16GB / 32GB HBM2 | 16GB HBM2 | 16GB / 32GB HBM2 | 32GB HBM2 |
| Memory Bus | 4096-bit | 4096-bit | 4096-bit | 4096-bit |
| TDP | 300W | 150W | 250W | 250W |
Tesla V100 (PCIe – left and SMX2 – correct)
Tesla V100 specs and FHHL variant
Provide: NVIDIA, By: AnandTech, TechPowerUP
