GeForce RTX 4080 Super vs NVIDIA A100 80GB PCIe, AI & Machine Learning Comparison
NVIDIA A100 80GB PCIe wins 12 of 12 benchmarks, averaging 296.2% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Z-Image Turbo, where NVIDIA A100 80GB PCIe leads by 1140% (0.75 vs 9.3 images/min); the closest fight is Qwen3 4B (0% apart); VRAM decides part of this one: NVIDIA A100 80GB PCIe runs 12 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | GeForce RTX 4080 Super | NVIDIA A100 80GB PCIe | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 197.53 | 198.27 | -0% |
| Llama 3.1 8B tok/s | 126.29 | 161.75 | -22% |
| Qwen2.5-Coder 14B tok/s | 70.55 | 88.36 | -20% |
| Qwen3 32B tok/s | 0 | 43.77 | n/a |
| Llama 3.3 70B tok/s | 0 | 22.89 | n/a |
| Stable Diffusion XL images/min | 9.12 | 16.8 | -46% |
| Z-Image Turbo images/min | 0.75 | 9.3 | -92% |
| FLUX.1 dev images/min | 0 | 3.964 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.843 | n/a |
| Qwen-Image-Edit images/min | 0 | 1.54 | n/a |
| LTX-Video (distilled) frames/s | 1.42 | 8.51 | -83% |
| Wan 2.2 5B (720p) frames/s | 0 | 0.61 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. GeForce RTX 4080 Super is faster on 0 of 1; NVIDIA A100 80GB PCIe on 1.
| Workflow | GeForce RTX 4080 Super | NVIDIA A100 80GB PCIe | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.2 min | 11.3 min | NVIDIA A100 80GB PCIe 1.25x faster | $0.066 vs $0.224 |
Renting by the hour, GeForce RTX 4080 Super finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| GeForce RTX 4080 Super | $0.280 |
| NVIDIA A100 80GB PCIe | $1.190 |
GeForce RTX 4080 Super is 4.25x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| GeForce RTX 4080 Super | NVIDIA A100 80GB PCIe | |
|---|---|---|
| VRAM | 16GB | 80GB |
| Architecture | Ada Lovelace | Ampere |
| Memory bandwidth | 736 GB/s | 1935 GB/s |
| Boost clock | 2,505 MHz | 1,410 MHz |
| TDP | 320 W | 300 W |
| Launch MSRP | $999 | $15,000 |
| Release | 2024-01-31 | 2021-06-28 |
FAQ
- Which is better for ai & machine learning: GeForce RTX 4080 Super or NVIDIA A100 80GB PCIe?
- NVIDIA A100 80GB PCIe performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 296.2% advantage.
- What are the main hardware differences between GeForce RTX 4080 Super and NVIDIA A100 80GB PCIe?
- GeForce RTX 4080 Super has 16GB VRAM and a 320W TDP, while NVIDIA A100 80GB PCIe has 80GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between GeForce RTX 4080 Super and NVIDIA A100 80GB PCIe?
- For AI, yes, NVIDIA A100 80GB PCIe fits 6 more of our 12 workloads than GeForce RTX 4080 Super. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between GeForce RTX 4080 Super and NVIDIA A100 80GB PCIe?
- Z-Image Turbo: NVIDIA A100 80GB PCIe leads by roughly 855% (0.75 vs 9.3 images/min) in our testing.
GeForce RTX 4080 Super full review · NVIDIA A100 80GB PCIe full review · All AI & Machine Learning rankings