Best home rig for Llama 3.3 70B
Older model. For current picks see 2025–2026 models.
Real, measured generation speeds for Llama 3.3 70B on home hardware, fastest first. Different quants/engines aren't directly comparable.
| Build | Quant | Engine | tok/s | Cost | |
|---|---|---|---|---|---|
| Dual used RTX 3090, ~2000 EUR total | ExLlamaV2 (TP) | 20 | €2,000 (≈$2,242) | source ⚠ unchecked | |
| Mac Studio 64 GB | Q4 | 11 | $4,000 (≈€3,569) | source ⚠ unchecked | |
| RTX 3090 + RTX 4060 Ti 16GB mixed pair | IQ4_XS | 11 | source ⚠ unchecked | ||
| Single RTX 4060 Ti 16GB + 64 GB RAM (partial offload) | Q5_K_M | LM Studio / Kobold | 1.5 | source ⚠ unchecked |
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Rent before you buy: try this model on a cloud GPU for a few dollars first: RunPod
FAQ
How much VRAM does Llama 3.3 70B need?
The weights are about 42.8 GB at Q4_K_M (70B params × 4.89 bits ÷ 8, before context/KV cache). Add memory for context (KV cache) and the runtime. The smallest-memory setup with a measured result here, fully in memory, is 2x RTX 3090 (48 GB) at 20 tok/s.
What is the fastest measured hardware for Llama 3.3 70B?
2x RTX 3090: 20 tok/s generation (ExLlamaV2 (TP)), from https://www.reddit.com/r/LocalLLaMA/comments/1hdpvpt/llama_33_speed/.
Related: what GPU do you need for 2026 models · all builds