NVIDIA A800 80GB PCIe
The NVIDIA A800 80GB PCIe is an enterprise-class GPU built on the Ampere architecture, featuring 80 GB of memory with 1,935 GB/s of memory bandwidth and a 300 W TDP. It delivers 19.5 TFLOPS of FP32 performance and 312 TFLOPS of FP16 tensor performance. Currently available from 1 provider starting at $0.67/GPU/hour, with a market median of $0.67/GPU/hour across 3 configurations.
Hardware specifications
Same across all providers
Median price across all providers
1 offering from 1 providers
Sorted by price ascending. Compare configurations side-by-side.
LLMs that fit on the NVIDIA A800 80GB PCIe
Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 80 GB per GPU. Showing the 12 largest that fit.
| Model | Parameters | 16-bit | 8-bit | 4-bit |
|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | 284B | — Not released | — Not released | 192 GB 4× · 128 GB free |
| Solar Open2 250B Upstage | 250B 15B active | 601 GB Too large | 330 GB Tight on 4× · 16% spare | 192 GB 4× · 128 GB free |
| Qwen3 235B-A22B Alibaba | 235B 22B active | 564 GB Too large | 310 GB 4× · 9.7 GB free | 181 GB 4× · 139 GB free |
| Laguna-S 2.1 Poolside | 118B 8B active | 282 GB 4× · 38 GB free | 155 GB 4× · 165 GB free | 90 GB 4× · 230 GB free or 1× · 6% spare |
| gpt-oss-120b OpenAI | 117B 5.1B active | — Not released | — Not released | 78 GB 1× · 1.7 GB free |
| Qwen3.6 35B-A3B Alibaba | 35B 3B active | 86 GB 4× · 234 GB free or 1× · 11% spare | 47 GB 1× · 33 GB free | 28 GB 1× · 52 GB free |
| Qwen3 32B Alibaba | 32.8B | 79 GB 1× · 1.4 GB free | 43 GB 1× · 37 GB free | 25 GB 1× · 55 GB free |
| Gemma 4 31B Google | 31.3B | 75 GB 1× · 4.9 GB free | 41 GB 1× · 39 GB free | 24 GB 1× · 56 GB free |
| GLM-4.7 Flash Z.ai | 31.2B | 75 GB 1× · 5.1 GB free | 41 GB 1× · 39 GB free | 24 GB 1× · 56 GB free |
| Qwen3.6 27B Alibaba | 27.8B | 67 GB 1× · 13 GB free | 37 GB 1× · 43 GB free | 21 GB 1× · 59 GB free |
| Mistral Small 3.2 24B Mistral AI | 24B | 58 GB 1× · 22 GB free | 32 GB 1× · 48 GB free | 18 GB 1× · 62 GB free |
| gpt-oss-20b OpenAI | 21B 3.6B active | — Not released | — Not released | 17 GB 1× · 63 GB free |
Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this
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