RTX 6000 Ada vs RTX Pro 5000 Blackwell for local AI
Both fit the same models we track, up to Llama 3.3 70B. The RTX Pro 5000 Blackwell generates about 40% faster on any model both can run, because it has 1344 GB/s of memory bandwidth to the RTX 6000 Ada's 960 GB/s.
Memory and bandwidth
Memory decides which models fit. Bandwidth decides how fast they generate, because every token reads the model's active weights once.
| RTX 6000 Ada | RTX Pro 5000 Blackwell | |
|---|---|---|
| Memory | 48 GB VRAM | 48 GB VRAM |
| Bandwidth | 960 GB/s | 1344 GB/s |
| Biggest model that fits | Llama 3.3 70B | Llama 3.3 70B |
| Best everyday pick | Qwen3 32B, ~26 tok/s | Qwen3 32B, ~37 tok/s |
Every model, side by side
Estimated generation speed at the largest memory size each was sold in (48 GB and 48 GB).
| Model | RTX 6000 Ada | RTX Pro 5000 Blackwell |
|---|---|---|
| Qwen3 4B About 4 GB | ~210 tok/s Runs great | ~300 tok/s Runs great |
| Qwen3 8B About 7 GB | ~100 tok/s Runs great | ~140 tok/s Runs great |
| Gemma 3 12B About 10 GB | ~65 tok/s Runs great | ~91 tok/s Runs great |
| Qwen3 14B About 11 GB | ~57 tok/s Runs great | ~79 tok/s Runs great |
| gpt-oss 20B About 16 GB | ~170 tok/s Runs great | ~240 tok/s Runs great |
| Gemma 3 27B About 19 GB | ~31 tok/s Runs great | ~43 tok/s Runs great |
| Qwen3 30B-A3B About 21 GB | ~170 tok/s Runs great | ~240 tok/s Runs great |
| Qwen3 32B About 22 GB | ~26 tok/s Usable | ~37 tok/s Runs great |
| Llama 3.3 70B About 45 GB | ~12 tok/s Usable | ~17 tok/s Usable |
| gpt-oss 120B About 67 GB | Needs 67 GB | Needs 67 GB |
| Qwen3 235B-A22B About 144 GB | Needs 144 GB | Needs 144 GB |
| DeepSeek R1 671B About 406 GB | Needs 406 GB | Needs 406 GB |
The RTX Pro 5000 Blackwell, for speed. They fit the same models. Price matters as much as either number: check used prices on the builds page, where every parts list has a measured or estimated speed.
Both columns use the same formula: memory bandwidth divided by the weights read per token, calibrated on our own rack, with Ollama's default 4-bit sizes. Real results are usually within about a third. Measured either one? Send us the number.