Ranked guide
Best NVIDIA GPU for AI
NVIDIA cards only. CUDA remains the most broadly supported backend across Ollama, llama.cpp, vLLM and LM Studio, which is why it is the default recommendation — though fit itself is memory, not vendor.
How we rank
By the largest model each card loads cleanly (quality quantization, no CPU offload, 8K context), then by VRAM, then by price. No benchmark scores and no tokens-per-second claims — we publish speed as a tier, never a number. Full methodology. Pool: NVIDIA GPUs only.
| # | GPU | VRAM | Bandwidth | MSRP | Runs up to |
|---|---|---|---|---|---|
| 1 | NVIDIA RTX A6000 | 48 GB | 768 GB/s | $4,649 | Qwen3.6-35B-A3B |
| 2 | NVIDIA RTX 6000 Ada Generation | 48 GB | 960 GB/s | $6,799 | Qwen3.6-35B-A3B |
| 3 | NVIDIA GeForce RTX 5090 | 32 GB | 1790 GB/s | $1,999 | Qwen3.6-35B-A3B |
| 4 | NVIDIA RTX 5000 Ada Generation | 32 GB | 576 GB/s | $4,000 | Qwen3.6-35B-A3B |
| 5 | NVIDIA GeForce RTX 3090 | 24 GB | 936.2 GB/s | $1,499 | Qwen3-30B-A3B |
| 6 | NVIDIA GeForce RTX 4090 | 24 GB | 1010 GB/s | $1,599 | Qwen3-30B-A3B |
| 7 | NVIDIA GeForce RTX 3090 Ti | 24 GB | 1010 GB/s | $1,999 | Qwen3-30B-A3B |
| 8 | NVIDIA GeForce RTX 5060 Ti 16 GB | 16 GB | 448 GB/s | $429 | gpt-oss-20b |
| 9 | NVIDIA GeForce RTX 4060 Ti 16 GB | 16 GB | 288 GB/s | $499 | gpt-oss-20b |
| 10 | NVIDIA GeForce RTX 5070 Ti | 16 GB | 896 GB/s | $749 | gpt-oss-20b |
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Ranking a card is not the same as checking your machine. Run the exact check for the model you have in mind, or build a full stack from a budget.