80GB · AI Score 33.1/100 · anchored estimate vs 51 measured cards
33.1 AI Score Includes estimates
We have not run NVIDIA A800 80GB on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure (confidence: high (sibling silicon)). On Llama 3.1 8B (Q4_K_M) NVIDIA A800 80GB should deliver about 162.6 tokens/sec. Stepping up to Qwen3 32B it should hold roughly 45.5 tok/s. The full Llama 3.3 70B still runs, at about 24.4 tok/s. For image generation, SDXL should run near 8.18 it/s, and FLUX.1-dev at 1.99 it/s. All 12 workloads fit in 80GB. There is no model in our suite this card has to turn down.
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Qwen3 4B | 197 tok/s | estimated | Est. |
| Llama 3.1 8B | 162.6 tok/s | estimated | Est. |
| Qwen2.5-Coder 14B | 89.5 tok/s | estimated | Est. |
| Qwen3 32B | 45.5 tok/s | estimated | Est. |
| Llama 3.3 70B | 24.4 tok/s | estimated | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Stable Diffusion XL | 16.36 images/min | estimated | Est. |
| FLUX.1 dev | 4.26 images/min | estimated | Est. |
| Z-Image Turbo | 9.98 images/min | estimated | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| FLUX.1 Kontext dev | 1.99 images/min | estimated | Est. |
| Qwen-Image-Edit | 1.64 images/min | estimated | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| LTX-Video (distilled) | 8.95 frames/s | estimated | Est. |
| Wan 2.2 5B (720p) | 0.66 frames/s | estimated | Est. |
| Architecture | Ampere |
| CUDA cores | 6,912 |
| VRAM | 80GB HBM2e |
| Memory bus | 5120-bit |
| Memory bandwidth | 2039 GB/s |
| Boost clock | 1,410 MHz |
| TDP | 400 W |
| Process | TSMC 7nm |
| Interface | SXM4 |
| Release date | 2022-11-01 |
| Launch MSRP | $15,000 |
NVIDIA A800 80GB scores 33.1/100, #14 of 102. It ran all 12 workloads. Figures are anchored estimates, not measurements, we flag that on every row.
100% = this card, AI & Machine Learning headline metric (AI Score). #12 of 21 datacenter cards in this vertical.
| GPU | Relative | % | AI Score |
|---|---|---|---|
| NVIDIA H100 NVL | 176% | 58.1 | |
| NVIDIA RTX PRO 6000 Blackwell Server Edition | 151% | 49.9 | |
| NVIDIA H100 PCIe | 150% | 49.8 | |
| NVIDIA A100 80GB SXM4 | 100% | 33.1 | |
| NVIDIA A800 80GB | 100% | 33.1 | |
| NVIDIA A100 80GB PCIe | 96% | 31.7 | |
| NVIDIA L40S | 84% | 27.7 | |
| NVIDIA L40 | 59% | 19.5 | |
| NVIDIA A40 | 53% | 17.7 |
← All AI & Machine Learning GPU rankings
| Transistors | 54,200 million |
| Die size | 826 mm² |
| Process node | 7 nm |
| Fabricated by | TSMC |
| Transistor density | 65.6 million per mm² |
Denser than 88% of the 746 cards we have silicon data for. Density is the clearest measure of what a process node bought: a card that gained it without growing the die got its speed from the fab rather than the architecture.
Silicon figures from Wikipedia (CC BY-SA 4.0). Benchmarks on this page are our own. Compare every chip.
Whole-job timings, composed from our measured per-model results on this card.
| Workflow | Time | Energy | Basis |
|---|---|---|---|
| 24-frame storyboard | 2.9 min | n/a | estimate, 0 of 2 stages measured |
| 60-second AI short film | 4 min | n/a | estimate, 0 of 3 stages measured |
| 6-panel comic page | 4.7 min | n/a | estimate, 0 of 3 stages measured |
| Character sheet, 12 poses | 6.3 min | n/a | estimate, 0 of 2 stages measured |
| Full codebase review | 11.2 min | n/a | estimate, 0 of 1 stage measured |
| Short social clips | 13.6 min | n/a | estimate, 0 of 3 stages measured |
| Long-form article batch | 19.1 min | n/a | estimate, 0 of 1 stage measured |
| Product photo shoot | 22.5 min | n/a | estimate, 0 of 2 stages measured |
| Photo restoration batch | 50.2 min | n/a | estimate, 0 of 1 stage measured |
Renting this card costs $0.601/hour right now. We started tracking on 2026-10-04, so there is not enough history to chart yet. The line fills in as prices move.