3Dwarrior
SOCIAL:
Filed under: 120 GB, 120 GB GPU, 120 GB Graphics Card, Featured, H100, H100 GPU, H100 PCIe, Hardware, Hopper, Hopper GPU, Hopper H100, News, nVidia, NVIDIA 120 GB, NVIDIA H100 GPU, NVIDIA Hopper, NVIDIA Hopper 120 GB, Nvidia Hopper GPU, Rumor, Sticky

NVIDIA Allegedly Working on Hopper H100 PCIe Graphics Card With…

NVIDIA is allegedly working on a brand name new Hopper H100 GPU-centered graphics card that would attribute up to a hundred and twenty GB HBM2e memory capacity.

NVIDIA Hopper H100 GPU-Run PCIe Graphics Card With a hundred and twenty GB HBM2e Memory Capacity Noticed

NVIDIA has so considerably officially announced two versions of the Hopper H100 GPU, an SXM5 board and a PCIe variant. Both of those aspect otherwise configured Hopper H100 GPUs and though their VRAM capability is the exact at eighty GB, the former utilizes the model new HBM3 common although the latter utilizes the HBM2e typical.

Now centered on details by s-ss.cc (by using MEGAsizeGPU), NVIDIA could possibly be doing the job on a model new PCIe edition of the Hopper H100 GPU. The new graphics card will not likely feature 80 GB HBM2e but will go all out with one hundred twenty GB of HBM2e memory.

As for each the data accessible, the Hopper H100 PCIe graphics card not only comes with all 6 HBM2e stacks enabled for 120 GB memory throughout a 6144-bit bus interface, but it also will come with the identical GH100 GPU configuration as the SXM5 variant. This is a complete of sixteen,896 CUDA cores and memory bandwidth that exceeds three TB/s. The solitary-precision compute efficiency has been rated at thirty TFLOPs which is the identical as the SXM5 variant.

So coming to the requirements, the NVIDIA Hopper GH100 GPU is composed of a significant a hundred and forty four SM (Streaming Multiprocessor) chip layout which is showcased in a full of 8 GPCs. These GPCs rock whole of nine TPCs which are further composed of 2 SM models every single. This offers us 18 SMs per GPC and 144 on the full 8 GPC configuration. Just about every SM is composed of up to 128 FP32 units which really should give us a full of eighteen,432 CUDA cores. Adhering to are some of the configurations you can be expecting from the H100 chip:

The full implementation of the GH100 GPU includes the pursuing units:

  • eight GPCs, 72 TPCs (nine TPCs/GPC), 2 SMs/TPC, one hundred forty four SMs per comprehensive GPU
  • 128 FP32 CUDA Cores per SM, 18432 FP32 CUDA Cores per complete GPU
  • 4 Fourth-Technology Tensor Cores for each SM, 576 for each total GPU
  • 6 HBM3 or HBM2e stacks, 12 512-little bit Memory Controllers
  • sixty MB L2 Cache

The NVIDIA H100 GPU with SXM5 board sort-variable contains the following units:

  • eight GPCs, 66 TPCs, 2 SMs/TPC, 132 SMs for each GPU
  • 128 FP32 CUDA Cores for each SM, 16896 FP32 CUDA Cores per GPU
  • 4 Fourth-era Tensor Cores per SM, 528 for each GPU
  • 80 GB HBM3, five HBM3 stacks, 10 512-little bit Memory Controllers
  • 50 MB L2 Cache
  • Fourth-Generation NVLink and PCIe Gen five

Now it is not known if this is a check board or a future iteration of the Hopper H100 GPU that is staying analyzed out. NVIDIA not too long ago stated at GTC 22 that their Hopper GPU was now in entire generation and the initially wave of goods are rolling out subsequent thirty day period. As yields get greater, we may well certainly see the one hundred twenty GB Hopper H100 PCIe graphics card and SXM5 variants in the marketplace but for now, the 80 GB is what most consumers are likely to get.

NVIDIA Ampere GA100 GPU Based Tesla A100 Specs:

NVIDIA Tesla Graphics Card NVIDIA H100 (SMX5) NVIDIA H100 (PCIe) NVIDIA A100 (SXM4) NVIDIA A100 (PCIe4) Tesla V100S (PCIe) Tesla V100 (SXM2) Tesla P100 (SXM2) Tesla P100
(PCI-Categorical)
Tesla M40
(PCI-Convey)
Tesla K40
(PCI-Categorical)
GPU GH100 (Hopper) GH100 (Hopper) GA100 (Ampere) GA100 (Ampere) GV100 (Volta) GV100 (Volta) GP100 (Pascal) GP100 (Pascal) GM200 (Maxwell) GK110 (Kepler)
Process Node 4nm 4nm 7nm 7nm 12nm 12nm 16nm 16nm 28nm 28nm
Transistors eighty Billion eighty Billion fifty four.two Billion 54.2 Billion 21.1 Billion 21.1 Billion fifteen.3 Billion fifteen.three Billion eight Billion 7.one Billion
GPU Die Dimension 814mm2 814mm2 826mm2 826mm2 815mm2 815mm2 610 mm2 610 mm2 601 mm2 551 mm2
SMs 132 114 108 108 80 80 fifty six fifty six 24 15
TPCs 66 fifty seven fifty four fifty four 40 40 28 28 24 15
FP32 CUDA Cores For every SM 128 128 sixty four sixty four 64 sixty four sixty four sixty four 128 192
FP64 CUDA Cores / SM 128 128 32 32 32 32 32 32 4 sixty four
FP32 CUDA Cores 16896 14592 6912 6912 5120 5120 3584 3584 3072 2880
FP64 CUDA Cores 16896 14592 3456 3456 2560 2560 1792 1792 96 960
Tensor Cores 528 456 432 432 640 640 N/A N/A N/A N/A
Texture Models 528 456 432 432 320 320 224 224 192 240
Increase Clock TBD TBD 1410 MHz 1410 MHz 1601 MHz 1530 MHz 1480 MHz 1329MHz 1114 MHz 875 MHz
TOPs (DNN/AI) 2000 TOPs
4000 TOPs
1600 TOPs
3200 TOPs
1248 TOPs
2496 TOPs with Sparsity
1248 TOPs
2496 TOPs with Sparsity
one hundred thirty TOPs 125 TOPs N/A N/A N/A N/A
FP16 Compute 2000 TFLOPs 1600 TFLOPs 312 TFLOPs
624 TFLOPs with Sparsity
312 TFLOPs
624 TFLOPs with Sparsity
32.eight TFLOPs thirty.four TFLOPs 21.2 TFLOPs 18.seven TFLOPs N/A N/A
FP32 Compute a thousand TFLOPs 800 TFLOPs 156 TFLOPs
(19.five TFLOPs conventional)
156 TFLOPs
(19.five TFLOPs typical)
16.four TFLOPs fifteen.7 TFLOPs 10.6 TFLOPs 10. TFLOPs six.8 TFLOPs 5.04 TFLOPs
FP64 Compute 60 TFLOPs forty eight TFLOPs 19.five TFLOPs
(9.7 TFLOPs typical)
19.5 TFLOPs
(nine.seven TFLOPs conventional)
eight.two TFLOPs 7.80 TFLOPs five.thirty TFLOPs four.seven TFLOPs .2 TFLOPs 1.sixty eight TFLOPs
Memory Interface 5120-little bit HBM3 5120-little bit HBM2e 6144-little bit HBM2e 6144-bit HBM2e 4096-little bit HBM2 4096-little bit HBM2 4096-little bit HBM2 4096-little bit HBM2 384-little bit GDDR5 384-bit GDDR5
Memory Dimensions Up To eighty GB HBM3 @ 3. Gbps Up To 80 GB HBM2e @ two. Gbps Up To 40 GB HBM2 @ 1.six TB/s
Up To eighty GB HBM2 @ 1.six TB/s
Up To 40 GB HBM2 @ 1.six TB/s
Up To eighty GB HBM2 @ 2. TB/s
sixteen GB HBM2 @ 1134 GB/s 16 GB HBM2 @ 900 GB/s sixteen GB HBM2 @ 732 GB/s sixteen GB HBM2 @ 732 GB/s
twelve GB HBM2 @ 549 GB/s
24 GB GDDR5 @ 288 GB/s 12 GB GDDR5 @ 288 GB/s
L2 Cache Size 51200 KB 51200 KB 40960 KB 40960 KB 6144 KB 6144 KB 4096 KB 4096 KB 3072 KB 1536 KB
TDP 700W 350W 400W 250W 250W 300W 300W 250W 250W 235W

The post NVIDIA Allegedly Operating on Hopper H100 PCIe Graphics Card With one hundred twenty GB HBM2e Memory Potential by Hassan Mujtaba appeared to start with on Wccftech.