NVIDIA H100 PCIe 80GB Specifications for AI Enthusiasts
The NVIDIA H100 PCIe 80GB is a professional graphics card designed primarily for machine learning and high-performance computing applications. Launched in March 2023, it is built on the innovative Hopper GH100 architecture and utilizes the 4 nm process by TSMC. The H100 PCIe 80GB stands out for its substantial memory capacity and high-speed memory bandwidth, making it exceptionally suitable for handling large datasets and complex machine learning models. Its tensor cores significantly accelerate machine learning operations. The Hopper architecture, as seen in the H100 and H200 GPUs, introduces several technological innovations aimed at enhancing performance in AI training and inference. These GPUs are distinguished by their massive transistor count and advanced memory technologies, like HBM3 and HBM2e, supporting up to 80 GB of memory. The H100 supports HBM2e memory, while the H200 supports the faster HBM3 memory system, which can deliver up to 3 TB/s, a significant increase over the previous generation's capabilities. A common nvidia part number for this card is 900-21010-000-000.
- GPU Architecture: hopper
- Hardware-Accelerated GEMM Operations:FP16 FP32 BF16 FP8 INT8 INT4 TF32 FP64 INT1
- CUDA Compute Capability : 9
Specifications for NVIDIA H100 PCIe
| Raw Performance | |
|---|---|
| Tensor Core Count: 456 | |
| FP32 TFLOPs: 756 | |
| FP16 TFLOPs: 1513 | |
| Int8 TOPs: 3026 | |
| Memory Capacity (GB): 80 | |
| Memory Bandwidth (GB/s): 2039 |
Real-time NVIDIA H100 PCIe GPU Prices
Compare Price/Performance to other GPUs
References
- https://resources.nvidia.com/en-us-tensor-core/nvidia-tensor-core-gpu-datasheet
- https://www.nvidia.com/en-us/data-center/h100/
- https://www.techpowerup.com/gpu-specs/h100-pcie-80-gb.c3899
- https://en.wikipedia.org/wiki/Hopper_(microarchitecture)
- https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/
- https://www.nvidia.com/en-us/data-center/tensor-cores/