A dedicated NVIDIA A100 SXM with 80 GB HBM2e, 20 vCPU, 160 GB system RAM, and 2 TB local NVMe per card.
Node pricing
The product model allocates each GPU to one account for the complete term. Adding cards to a node applies the catalog volume discount to every card.
| Node | Total VRAM | 7 days | 30 days | Discount |
|---|---|---|---|---|
| 1× A100 SXM | 80 GB | $280 | $990 | 0% |
| 2× A100 SXM | 160 GB | $532 | $1,881 | 5% |
| 4× A100 SXM | 320 GB | $1,030 | $3,643 | 8% |
| 8× A100 SXM | 640 GB | $2,016 | $7,128 | 10% |
Regional inventory
Ready-to-run images
Workload fit
The lower-priced 80 GB baseline for an existing Ampere/CUDA training or batch-inference workflow.
Your catalog configuration pairs 80 GB GPU memory with 160 GB host RAM and 2 TB local NVMe per card.
First check that the entire working set fits, including optimizer state or KV cache. A faster architecture does not replace a memory-fit analysis.
Use $280 for a 7-day pilot, or $990 for a 30-day allocation after validating the workload. Options are additional.