GeForce RTX 4080 Super vs NVIDIA RTX 6000 Ada Generation, AI & Machine Learning Comparison
NVIDIA RTX 6000 Ada Generation wins 9 of 9 benchmarks, averaging 133.7% 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 RTX 6000 Ada Generation leads by 580% (0.75 vs 5.1 images/min); the closest fight is Stable Diffusion XL (17% apart); VRAM decides part of this one: NVIDIA RTX 6000 Ada Generation runs 9 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 RTX 6000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 197.53 | 241.33 | -18% |
| Llama 3.1 8B tok/s | 126.29 | 157.89 | -20% |
| Qwen2.5-Coder 14B tok/s | 70.55 | 87.51 | -19% |
| Qwen3 32B tok/s | 0 | 39.87 | n/a |
| Llama 3.3 70B tok/s | 0 | 18.4 | n/a |
| Stable Diffusion XL images/min | 9.12 | 10.7 | -15% |
| Z-Image Turbo images/min | 0.75 | 5.1 | -85% |
| FLUX.1 dev images/min | 0 | 2.229 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.029 | 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 RTX 6000 Ada Generation on 1.
| Workflow | GeForce RTX 4080 Super | NVIDIA RTX 6000 Ada Generation | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.2 min | 11.4 min | NVIDIA RTX 6000 Ada Generation 1.24x faster | $0.066 vs $0.141 |
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 RTX 6000 Ada Generation | $0.740 |
GeForce RTX 4080 Super is 2.64x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| GeForce RTX 4080 Super | NVIDIA RTX 6000 Ada Generation | |
|---|---|---|
| VRAM | 16GB | 48GB |
| Architecture | Ada Lovelace | Ada Lovelace |
| Memory bandwidth | 736 GB/s | 960 GB/s |
| Boost clock | 2,505 MHz | 2,505 MHz |
| TDP | 320 W | 300 W |
| Launch MSRP | $999 | $6,799 |
| Release | 2024-01-31 | 2022-12-03 |
FAQ
- Which is better for ai & machine learning: GeForce RTX 4080 Super or NVIDIA RTX 6000 Ada Generation?
- NVIDIA RTX 6000 Ada Generation performs better for ai & machine learning, winning 9 of 9 benchmarks in our suite with an average 133.7% advantage.
- What are the main hardware differences between GeForce RTX 4080 Super and NVIDIA RTX 6000 Ada Generation?
- GeForce RTX 4080 Super has 16GB VRAM and a 320W TDP, while NVIDIA RTX 6000 Ada Generation has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between GeForce RTX 4080 Super and NVIDIA RTX 6000 Ada Generation?
- For AI, yes, NVIDIA RTX 6000 Ada Generation 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 RTX 6000 Ada Generation?
- Z-Image Turbo: NVIDIA RTX 6000 Ada Generation leads by roughly 435% (0.75 vs 5.1 images/min) in our testing.
GeForce RTX 4080 Super full review · NVIDIA RTX 6000 Ada Generation full review · All AI & Machine Learning rankings