NVIDIA Hopper H100 GPU Pictured In All Its Glory: The World’s Fastest 4nm GPU & World’s First With HBM3 Memory

At GTC 2022, NVIDIA unveiled its Hopper H100 GPU, a compute powerhouse designed for the next generation of data centers. It’s been a while since we talked about this mighty chip but it looks like NVIDIA gave a close-up of its flagship chip to select media.

NVIDIA Hopper H100 GPU: First With 4nm and HBM3 Technology Gets High-Res Pictures

CNET managed to get hold of not only the graphics board on which the H100 GPU is fused but also the H100 chip itself. The H100 GPU is a monster chip that comes packed with the latest 4nm tech and incorporates 80 Billion transistors along with the bleeding-edge HBM3 memory technology. As per the tech outlet, the H100 is built upon the PG520 PCB board which has over 30 power VRMs & a massive integral interposer that uses TSMC’s CoWoS tech to combine the Hopper H100 GPU with a 6-stack HBM3 design.

NVIDIA Hopper H100 GPU Pictured (Image Credits: CNET):

Out of the six stacks, two stacks are kept to ensure yield integrity. But the new HBM3 standard allows for up to 80 GB capacities at 3 TB/s speeds which are crazy. For comparison, the current fastest gaming graphics card, the RTX 3090 Ti, offers just 1 TB/s of bandwidth and 24 GB VRAM capacities. Other than that, the H100 Hopper GPU also packs in the latest FP8 data format, and through its new SXM connection, it helps accommodate the 700W power design that the chip is designed around.

NVIDIA Hopper H100 GPU Specifications At A Glance

So coming to the specifications, the NVIDIA Hopper GH100 GPU is composed of a massive 144 SM (Streaming Multiprocessor) chip layout which is featured in a total of 8 GPCs. These GPCs rock total of 9 TPCs which are further composed of 2 SM units each. This gives us 18 SMs per GPC and 144 on the complete 8 GPC configuration. Each SM is composed of up to 128 FP32 units which should give us a total of 18,432 CUDA cores. Following are some of the configurations you can expect from the H100 chip:

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

• 8 GPCs, 72 TPCs (9 TPCs/GPC), 2 SMs/TPC, 144 SMs per full GPU
• 128 FP32 CUDA Cores per SM, 18432 FP32 CUDA Cores per full GPU
• 4 Fourth-Generation Tensor Cores per SM, 576 per full GPU
• 6 HBM3 or HBM2e stacks, 12 512-bit Memory Controllers
• 60 MB L2 Cache
• Fourth-Generation NVLink and PCIe Gen 5

The NVIDIA H100 GPU with SXM5 board form-factor includes the following units:

• 8 GPCs, 66 TPCs, 2 SMs/TPC, 132 SMs per GPU
• 128 FP32 CUDA Cores per SM, 16896 FP32 CUDA Cores per GPU
• 4 Fourth-generation Tensor Cores per SM, 528 per GPU
• 80 GB HBM3, 5 HBM3 stacks, 10 512-bit Memory Controllers
• 50 MB L2 Cache
• Fourth-Generation NVLink and PCIe Gen 5

This is a 2.25x increase over the full GA100 GPU configuration. NVIDIA is also leveraging from more FP64, FP16 & Tensor cores within its Hopper GPU which would drive up performance immensely. And that’s going to be a necessity to rival Intel’s Ponte Vecchio which is also expected to feature 1:1 FP64.

The cache is another space where NVIDIA has given much attention, upping it to 48 MB in the Hopper GH100 GPU. This is a 20% increase over the 50 MB cache featured on the Ampere GA100 GPU and 3x the size of AMD’s flagship Aldebaran MCM GPU, the MI250X.

Rounding up the performance figures, NVIDIA’s GH100 Hopper GPU will offer 4000 TFLOPs of FP8, 2000 TFLOPs of FP16, 1000 TFLOPs of TF32 and 60 TFLOPs of FP64 Compute performance. These record-shattering figures decimate all other HPC accelerators that came before it. For comparison, this is 3.3x faster than NVIDIA’s own A100 GPU and 28% faster than AMD’s Instinct MI250X in the FP64 compute. In FP16 compute, the H100 GPU is 3x faster than A100 and 5.2x faster than MI250X which is literally bonkers.

The PCIe variant which is a cut-down model was recently listed over in Japan for over $30,000 US so one can imagine that the SXM variant with a beefier configuration will easily cost around $50 grand.

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-Express)	Tesla M40 (PCI-Express)	Tesla K40 (PCI-Express)
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	80 Billion	80 Billion	54.2 Billion	54.2 Billion	21.1 Billion	21.1 Billion	15.3 Billion	15.3 Billion	8 Billion	7.1 Billion
GPU Die Size	814mm2	814mm2	826mm2	826mm2	815mm2	815mm2	610 mm2	610 mm2	601 mm2	551 mm2
SMs	132	114	108	108	80	80	56	56	24	15
TPCs	66	57	54	54	40	40	28	28	24	15
FP32 CUDA Cores Per SM	128	128	64	64	64	64	64	64	128	192
FP64 CUDA Cores / SM	128	128	32	32	32	32	32	32	4	64
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 Units	528	456	432	432	320	320	224	224	192	240
Boost 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	130 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	32.8 TFLOPs	30.4 TFLOPs	21.2 TFLOPs	18.7 TFLOPs	N/A	N/A
FP32 Compute	1000 TFLOPs	800 TFLOPs	156 TFLOPs (19.5 TFLOPs standard)	156 TFLOPs (19.5 TFLOPs standard)	16.4 TFLOPs	15.7 TFLOPs	10.6 TFLOPs	10.0 TFLOPs	6.8 TFLOPs	5.04 TFLOPs
FP64 Compute	60 TFLOPs	48 TFLOPs	19.5 TFLOPs (9.7 TFLOPs standard)	19.5 TFLOPs (9.7 TFLOPs standard)	8.2 TFLOPs	7.80 TFLOPs	5.30 TFLOPs	4.7 TFLOPs	0.2 TFLOPs	1.68 TFLOPs
Memory Interface	5120-bit HBM3	5120-bit HBM2e	6144-bit HBM2e	6144-bit HBM2e	4096-bit HBM2	4096-bit HBM2	4096-bit HBM2	4096-bit HBM2	384-bit GDDR5	384-bit GDDR5
Memory Size	Up To 80 GB HBM3 @ 3.0 Gbps	Up To 80 GB HBM2e @ 2.0 Gbps	Up To 40 GB HBM2 @ 1.6 TB/s Up To 80 GB HBM2 @ 1.6 TB/s	Up To 40 GB HBM2 @ 1.6 TB/s Up To 80 GB HBM2 @ 2.0 TB/s	16 GB HBM2 @ 1134 GB/s	16 GB HBM2 @ 900 GB/s	16 GB HBM2 @ 732 GB/s	16 GB HBM2 @ 732 GB/s 12 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 Hopper H100 GPU Pictured In All Its Glory: The World’s Fastest 4nm GPU & World’s First With HBM3 Memory by Hassan Mujtaba appeared first on Wccftech.