NVIDIA GeForce RTX 3090 Ti vs NVIDIA RTX PRO 6000 Blackwell
For running models locally, priced in India. At 128k context the first runs 9 models fully in memory, the second 39.
In short
The NVIDIA RTX PRO 6000 Blackwell has more memory for models: 96 GB against 24 GB. At 128k context the NVIDIA RTX PRO 6000 Blackwell runs 39 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 9; only the NVIDIA RTX PRO 6000 Blackwell holds Qwen 3.8 Flash Next. On the models both run fully in memory, the NVIDIA RTX PRO 6000 Blackwell is about 1.8× as fast as the NVIDIA GeForce RTX 3090 Ti (estimated, median across models).
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 3090 Ti | NVIDIA RTX PRO 6000 Blackwell |
|---|---|---|
| GPU | GeForce RTX 3090 Ti | RTX PRO 6000 Blackwell |
| Memory | 24 GB GDDR6X | 96 GB GDDR7 |
| Memory bus | 384-bit | 512-bit |
| Memory bandwidth | 1,008 GB/s | 1,792 GB/s |
| FP16 compute | 80 TFLOPS | 504 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 450 W | 600 W |
| PCIe generation | Gen 4 | Gen 5 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 3090 Ti | NVIDIA RTX PRO 6000 Blackwell |
|---|---|---|
| Qwen 3.8 Flash Next | won't run | 20tok/sUD-Q3_K_XL |
| Qwen 3.8 27B | offload | 29tok/sQ8_0 |
| Qwen 3.5 122B-A10B | offload | 62tok/sQ5_K_M |
| Qwen 3.6 27B | offload | 30tok/sQ8_0 |
| Gemma 4 31B | offload | 25tok/sQ8_0 |
| Nemotron 3 Super 120B-A12B | won't run | 72tok/sUD-Q4_K_M |
| Qwen3 Coder Next | won't run | 90tok/sQ8_0 |
| gpt-oss 120B | won't run | 84tok/sMXFP4 |
| Mistral Small 4 119B | offload | 80tok/sUD-Q5_K_M |
| Qwen 3.6 35B-A3B | offload | 114tok/sQ8_0 |
| Qwen 3.5 27B | offload | 30tok/sQ8_0 |
| Gemma 4 26B-A4B | 68tok/sUD-Q4_K_M | 95tok/sQ8_0 |
| GLM 4.5 Air | won't run | 19tok/sQ4_K_M |
| Qwen 3.5 35B-A3B | offload | 114tok/sQ8_0 |
| GLM 4.7 Flash | offload | 54tok/sQ8_0 |
| Devstral Small 2 24B | offload | 24tok/sQ8_0 |
| Qwen3 Next 80B-A3B | won't run | 104tok/sQ8_0 |
| Nemotron 3.5 Lightning 30B-A3B | offload | 160tok/sUD-Q6_K_XL |
| gpt-oss 20B | 66tok/sMXFP4 | 118tok/sMXFP4 |
| Kimi Linear 48B-A3B | offload | 155tok/sQ8_0 |
| Qwen3 Coder 30B-A3B | offload | 42tok/sQ8_0 |
| Qwen3 32B | won't run | 16tok/sQ8_0 |
| Gemma 4 12B | 41tok/sQ8_0 | 73tok/sQ8_0 |
| Qwen 3.5 9B | 45tok/sQ8_0 | 80tok/sQ8_0 |
| Gemma 3 27B | offload | 28tok/sQ8_0 |
| Mistral Small 3.2 24B | offload | 24tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 32B | won't run | 16tok/sQ8_0 |
| Llama 3.3 70B | won't run | 12tok/sQ5_K_M |
| Ministral 3 14B | offload | 31tok/sQ8_0 |
| Qwen3 14B | offload | 30tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | offload | 40tok/sQ8_0 |
| Qwen3 8B | offload | 40tok/sQ8_0 |
| Phi-4 14B | offload | 26tok/sQ8_0 |
| Qwen 3.5 4B | 71tok/sQ8_0 | 126tok/sQ8_0 |
| Ministral 3 8B | 27tok/sQ4_K_M | 41tok/sQ8_0 |
| Granite 4.2 8B | offload | 36tok/sQ8_0 |
| Gemma 4 E4B | 52tok/sQ8_0 | 93tok/sQ8_0 |
| LFM2.5 8B-A1B | 50tok/sQ8_0 | 89tok/sQ8_0 |
| Llama 3.1 8B | 27tok/sQ5_K_M | 47tok/sQ6_K |
| DeepSeek V4 Flash | won't run | offload |
| GLM 5.3 Flash | won't run | offload |
| MiniMax M2.7 | won't run | offload |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 3090 Ti or the NVIDIA RTX PRO 6000 Blackwell?
- Choose the NVIDIA RTX PRO 6000 Blackwell to run bigger models. Choose the NVIDIA RTX PRO 6000 Blackwell for speed.
- Which can run bigger models, the NVIDIA GeForce RTX 3090 Ti or the NVIDIA RTX PRO 6000 Blackwell?
- At 128k context the NVIDIA RTX PRO 6000 Blackwell runs 39 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 9; only the NVIDIA RTX PRO 6000 Blackwell holds Qwen 3.8 Flash Next.
- Which is faster for local AI, the NVIDIA GeForce RTX 3090 Ti or the NVIDIA RTX PRO 6000 Blackwell?
- On the models both run fully in memory, the NVIDIA RTX PRO 6000 Blackwell is about 1.8× as fast as the NVIDIA GeForce RTX 3090 Ti (estimated, median across models).
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