NVIDIA 900-21010-0000-000 H100 80GB HBM2 5120bit Graphics card
The NVIDIA H100 (P/N 900-21010-0000-000) is a datacenter-class accelerator built on the NVIDIA Hopper architecture, equipped with 80GB of HBM2 memory on a 5120-bit memory interface. It targets enterprises and integrators running compute-intensive AI training and inference, HPC simulation, and large-scale data analytics workloads. As with all SXM/PCIe datacenter boards, confirm platform compatibility, cooling, and power provisioning with your supplier before ordering.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Manufacturer Part Number | 900-21010-0000-000 |
| Brand | NVIDIA |
| Product line | NVIDIA H100 datacenter GPU (Hopper architecture) |
| GPU Memory | 80GB (HBM2, high-bandwidth stacked memory) |
| Memory Interface | 5120-bit |
| Target workloads | AI training and inference, HPC, mission-critical enterprise compute (per source: compute-intensive AI and HPC tasks) |
| Deployment models | Cloud, on-premise, and hybrid environments |
| Software support | Compatible with current AI frameworks and NVIDIA software stacks (CUDA ecosystem; specific versions platform dependent) |
Good to know
- Datacenter boards of this class depend heavily on host platform support — verify server chassis, thermal design, and power infrastructure compatibility before purchase, especially for dense or 24/7 deployments.
- Within the NVIDIA datacenter family, the H100 sits above the A100 generation and is positioned for demanding AI and HPC workloads; sibling SKUs vary in memory type, form factor (SXM vs. PCIe), and interconnect configuration, so match the SKU to your platform.
- Bulk buyers and integrators should request current stock, condition (new/refurbished), and lead times in writing, as availability of datacenter GPUs fluctuates with demand.
For tray and reel pricing, current stock by part number and date code, and volume discounts on bulk orders, request a bulk quotation.
The NVIDIA H100 (P/N 900-21010-0000-000) is a datacenter-class accelerator built on the NVIDIA Hopper architecture, equipped with 80GB of HBM2 memory on a 5120-bit memory interface. It targets enterprises and integrators running compute-intensive AI training and inference, HPC simulation, and large-scale data analytics workloads. As with all SXM/PCIe datacenter boards, confirm platform compatibility, cooling, and power provisioning with your supplier before ordering.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Manufacturer Part Number | 900-21010-0000-000 |
| Brand | NVIDIA |
| Product line | NVIDIA H100 datacenter GPU (Hopper architecture) |
| GPU Memory | 80GB (HBM2, high-bandwidth stacked memory) |
| Memory Interface | 5120-bit |
| Target workloads | AI training and inference, HPC, mission-critical enterprise compute (per source: compute-intensive AI and HPC tasks) |
| Deployment models | Cloud, on-premise, and hybrid environments |
| Software support | Compatible with current AI frameworks and NVIDIA software stacks (CUDA ecosystem; specific versions platform dependent) |
Good to know
- Datacenter boards of this class depend heavily on host platform support — verify server chassis, thermal design, and power infrastructure compatibility before purchase, especially for dense or 24/7 deployments.
- Within the NVIDIA datacenter family, the H100 sits above the A100 generation and is positioned for demanding AI and HPC workloads; sibling SKUs vary in memory type, form factor (SXM vs. PCIe), and interconnect configuration, so match the SKU to your platform.
- Bulk buyers and integrators should request current stock, condition (new/refurbished), and lead times in writing, as availability of datacenter GPUs fluctuates with demand.
For tray and reel pricing, current stock by part number and date code, and volume discounts on bulk orders, request a bulk quotation.
