NVIDIA 900-21010-0040-000 H200 141GB HBM3 5120bit Graphics card
The NVIDIA 900-21010-0040-000 is a datacenter-class GPU module listed in the H200 family with 141GB HBM3 memory on a 5120-bit memory interface, positioned for AI training and inference, large-model serving, rendering, and VDI workloads. It targets system integrators, CSPs, and enterprise buyers building high-density GPU servers. Note that the listing description references HBM2e/Ampere-era specifications, so buyers should confirm the exact SKU revision and memory configuration with our sales team before ordering.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Part number | 900-21010-0040-000 |
| Product family | NVIDIA H200 (per product name; source text references Ampere architecture — verify SKU revision) |
| Memory capacity | 141GB HBM3 (product name); source description cites 80 GB HBM2e (configuration guidance only) |
| Memory interface | 5120-bit (product name) |
| AI acceleration | Tensor Cores for training and inference across major AI frameworks |
| Form factor / cooling | Data center optimized, passive cooling, high-density design |
| Efficiency | High performance per watt for enterprise-scale operations (qualitative, no TDP stated in source) |
| Software support | Supports advanced software stacks and next-generation workloads |
Good to know
- Compatibility: passive cooling means this module requires a properly designed server chassis with high airflow; it is not suitable for desktop or workstation use without vendor-validated platforms.
- Family positioning: within the NVIDIA datacenter GPU line, H200-class parts sit above A100/H100-class SKUs for memory-heavy large-model inference, while the source description’s HBM2e/Ampere references correspond to A100-class silicon — treat the product name as authoritative for the SKU ordered.
- Buying tip: request the SXS/CLG board revision, warranty terms, and driver/software stack confirmation in writing from your sales contact before committing to volume, since list descriptions in this segment can mix sibling SKUs.
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 900-21010-0040-000 is a datacenter-class GPU module listed in the H200 family with 141GB HBM3 memory on a 5120-bit memory interface, positioned for AI training and inference, large-model serving, rendering, and VDI workloads. It targets system integrators, CSPs, and enterprise buyers building high-density GPU servers. Note that the listing description references HBM2e/Ampere-era specifications, so buyers should confirm the exact SKU revision and memory configuration with our sales team before ordering.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Part number | 900-21010-0040-000 |
| Product family | NVIDIA H200 (per product name; source text references Ampere architecture — verify SKU revision) |
| Memory capacity | 141GB HBM3 (product name); source description cites 80 GB HBM2e (configuration guidance only) |
| Memory interface | 5120-bit (product name) |
| AI acceleration | Tensor Cores for training and inference across major AI frameworks |
| Form factor / cooling | Data center optimized, passive cooling, high-density design |
| Efficiency | High performance per watt for enterprise-scale operations (qualitative, no TDP stated in source) |
| Software support | Supports advanced software stacks and next-generation workloads |
Good to know
- Compatibility: passive cooling means this module requires a properly designed server chassis with high airflow; it is not suitable for desktop or workstation use without vendor-validated platforms.
- Family positioning: within the NVIDIA datacenter GPU line, H200-class parts sit above A100/H100-class SKUs for memory-heavy large-model inference, while the source description’s HBM2e/Ampere references correspond to A100-class silicon — treat the product name as authoritative for the SKU ordered.
- Buying tip: request the SXS/CLG board revision, warranty terms, and driver/software stack confirmation in writing from your sales contact before committing to volume, since list descriptions in this segment can mix sibling SKUs.
For tray and reel pricing, current stock by part number and date code, and volume discounts on bulk orders, request a bulk quotation.
