✓ GPU Architecture: NVIDIA Hopper
✓ GPU Memory: 96 GB HBM3
✓ GPU Memory Bandwidth: 4.0 TB/s
✓ INT8 | FPB Tensor Core: 296 | 296 TFLOPS
✓ BF16 | FP16 Tensor Core®: 148 | 148 TFLOPS
✓ TF32 Tensor Core: 74 TFLOPS
✓ FP32: 44 TFLOPS
✓ FP64: 1 TFLOPS
✓ RT Core: N/A
✓ MIG (Multi-Instance GPU): Up to 7 instances
✓ L2 Cache: 60 MB
✓ Media Engine: 7 NVDEC, 7 NVJPEG
✓ Power Consumption: 400 W
✓ Form Factor: 8-way HGX
✓ Interconnect: PCIe Gen5 x16: 128 GB/s, NVLink: 900GB/s
Unveiling NVIDIA's HGX H20, a powerhouse driven by the cutting-edge Hopper architecture. With 96 GB of HBM3 memory and a 4.0 TB/s memory bandwidth, this GPU delivers unparalleled performance in AI applications. Diverse Tensor Cores, including INT8, FPB, BF16, and FP16, contribute to up to 296 TFLOPS, complemented by an additional 74 TFLOPS from the TF32 Tensor Core. Beyond raw power, the HGX H20 supports Multi-Instance GPU (MIG) technology, offering versatility with up to seven instances for optimized workload distribution. Enhanced by a 60 MB L2 Cache and a media engine featuring 7 NVDEC and 7 NVJPEG units, this GPU is designed for efficiency and robust multimedia processing. With a 400 W power consumption and a form factor tailored for eight-way HGX configurations, the HGX H20 marks a paradigm shift in GPU processing.
| Specification | Details |
|---|---|
| GPU Architecture | NVIDIA Hopper |
| GPU Memory | 96 GB HBM3 |
| GPU Memory Bandwidth | 4.0 TB/s |
| INT8 | FPB Tensor Core* |
| BF16 | FP16 Tensor Core® |
| TF32 Tensor Core* | 74 TFLOPS |
| FP32 | 44 TFLOPS |
| FP64 | 1 TFLOPS |
| RT Core | N/A |
| MIG | Up to 7 MIG |
| L2 Cache | 60 MB |
| Media Engine | 7 NVDEC, 7 NVJPEG |
| Power | 400 W |
| Form Factor | 8-way HGX |
| Interconnect | PCIe Gen5 x16: 128 GB/s, NVLink: 900GB/s |
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