NVIDIA 900-21010-0010-000 A800 80GB HBM2 5120bit Graphics card
The NVIDIA A800 80GB (PN 900-21010-0010-000) is a datacenter-class accelerator built for compute-intensive AI training and inference as well as scientific and HPC workloads. With 80 GB of HBM2e memory on a 5120-bit memory interface, it targets buyers running large models and datasets that exceed the capacity of mainstream GPU offerings. Note that as an enterprise accelerator, it requires a compatible server platform with appropriate cooling and power provisioning—confirm host chassis and BIOS support before deployment.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Manufacturer Part Number | 900-21010-0010-000 |
| Brand | NVIDIA |
| Product Family | NVIDIA A800 datacenter GPU series |
| Memory Capacity | 80 GB HBM2e (supports larger models and datasets) |
| Memory Interface | 5120-bit (HBM2e architecture, platform dependent) |
| Target Workloads | Compute-heavy AI training and inference, scientific computing, mission-critical 24/7 deployments |
| Software Support | Compatible with current AI frameworks, libraries, and software stacks (guidance only, verify with your stack version) |
| Design Characteristics | Energy-efficient design with proven thermal reliability; enterprise-ready for continuous operation |
Good to know
- Compatibility: This is a server accelerator, not a desktop card—it requires a datacenter GPU form factor host (SXM/PCIe variant per your platform) and typically a dedicated server power and thermal design; verify your chassis supports datacenter-class GPUs before ordering.
- Positioning: The A800 is the datacenter-oriented member of NVIDIA’s Ampere-architecture enterprise GPU family, distinguished from sibling SKUs by its 80 GB high-bandwidth HBM2e memory—suited to memory-bound large-model workloads where lower-capacity variants are insufficient.
- Buying tip: When sourcing for AI clusters, confirm the exact part number (900-21010-0010-000) and form factor against your server’s qualified hardware list, and request current stock and shipment terms from your trading desk before committing to volume.
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 A800 80GB (PN 900-21010-0010-000) is a datacenter-class accelerator built for compute-intensive AI training and inference as well as scientific and HPC workloads. With 80 GB of HBM2e memory on a 5120-bit memory interface, it targets buyers running large models and datasets that exceed the capacity of mainstream GPU offerings. Note that as an enterprise accelerator, it requires a compatible server platform with appropriate cooling and power provisioning—confirm host chassis and BIOS support before deployment.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Manufacturer Part Number | 900-21010-0010-000 |
| Brand | NVIDIA |
| Product Family | NVIDIA A800 datacenter GPU series |
| Memory Capacity | 80 GB HBM2e (supports larger models and datasets) |
| Memory Interface | 5120-bit (HBM2e architecture, platform dependent) |
| Target Workloads | Compute-heavy AI training and inference, scientific computing, mission-critical 24/7 deployments |
| Software Support | Compatible with current AI frameworks, libraries, and software stacks (guidance only, verify with your stack version) |
| Design Characteristics | Energy-efficient design with proven thermal reliability; enterprise-ready for continuous operation |
Good to know
- Compatibility: This is a server accelerator, not a desktop card—it requires a datacenter GPU form factor host (SXM/PCIe variant per your platform) and typically a dedicated server power and thermal design; verify your chassis supports datacenter-class GPUs before ordering.
- Positioning: The A800 is the datacenter-oriented member of NVIDIA’s Ampere-architecture enterprise GPU family, distinguished from sibling SKUs by its 80 GB high-bandwidth HBM2e memory—suited to memory-bound large-model workloads where lower-capacity variants are insufficient.
- Buying tip: When sourcing for AI clusters, confirm the exact part number (900-21010-0010-000) and form factor against your server’s qualified hardware list, and request current stock and shipment terms from your trading desk before committing to volume.
For tray and reel pricing, current stock by part number and date code, and volume discounts on bulk orders, request a bulk quotation.
