Best hardware for Llama 3.3 70B Instruct
What runs Llama 3.3 70B Instruct well, from the NVIDIA RTX PRO 6000 Blackwell up: every tracked GPU and five current Macs graded with engine-estimated speeds and one clear answer per memory size.
Llama 3.3 70B Instruct on every tracked GPU
| GPU | Memory | Verdict | Est. speed | |
|---|---|---|---|---|
| NVIDIA RTX PRO 6000 Blackwell | 96 GB VRAM | Runs well | ~23 tok/s | |
| AMD Ryzen AI Max+ 395 (Strix Halo) | 110 GB unified memory | Tight | ~5 tok/s | |
| NVIDIA GeForce RTX 5090 | 32 GB VRAM | Tight | ~5 tok/s | Full verdict |
| NVIDIA GeForce RTX 4090 | 24 GB VRAM | No | ~2 tok/s | Full verdict |
| NVIDIA GeForce RTX 5080 | 16 GB VRAM | No | ~2 tok/s | Full verdict |
| NVIDIA GeForce RTX 5070 Ti | 16 GB VRAM | No | ~1 tok/s | Full verdict |
| NVIDIA GeForce RTX 3090 | 24 GB VRAM | No | ~1 tok/s | Full verdict |
| AMD Radeon RX 7900 XTX | 24 GB VRAM | No | ~1 tok/s | |
| NVIDIA GeForce RTX 4080 SUPER | 16 GB VRAM | No | ~1 tok/s | |
| AMD Radeon RX 7900 XT | 20 GB VRAM | No | ~1 tok/s | |
| NVIDIA GeForce RTX 4070 Ti SUPER | 16 GB VRAM | No | ~1 tok/s | Full verdict |
| NVIDIA GeForce RTX 4070 SUPER | 12 GB VRAM | No | ~1 tok/s | |
| NVIDIA GeForce RTX 5070 | 12 GB VRAM | No | ~1 tok/s | |
| NVIDIA GeForce RTX 5060 Ti | 16 GB VRAM | No | ~1 tok/s | |
| NVIDIA GeForce RTX 4070 | 12 GB VRAM | No | ~1 tok/s | Full verdict |
| NVIDIA GeForce RTX 3060 | 12 GB VRAM | No | ~1 tok/s | Full verdict |
| NVIDIA GeForce RTX 4060 | 8 GB VRAM | No | ~1 tok/s | Full verdict |
| NVIDIA GeForce RTX 4060 Ti | 16 GB VRAM | No | ~1 tok/s | Full verdict |
Speeds are engine estimates. Smallest tracked card that fits: NVIDIA RTX PRO 6000 Blackwell (96 GB).
Llama 3.3 70B Instruct on current Macs (M5/M6)
| Mac | Memory | Verdict | Est. speed | |
|---|---|---|---|---|
| Mac Mini M6 16GB | 16 GB unified memory | No | ~1 tok/s | |
| MacBook Air M5 24GB | 24 GB unified memory | No | ~1 tok/s | |
| MacBook Pro M5 Pro 48GB | 48 GB unified memory | Tight | ~4 tok/s | |
| MacBook Pro M5 Max 128GB | 128 GB unified memory | Runs well | ~10 tok/s | |
| Mac Studio M5 Ultra 256GB | 256 GB unified memory | Runs well | ~14 tok/s |
Unified memory: the RAM budget (~70-85%) is the limit, not a VRAM wall. Current-gen configs only.
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Frequently asked questions
What is the smallest GPU that runs Llama 3.3 70B Instruct well?
The NVIDIA RTX PRO 6000 Blackwell (96 GB) is the smallest tracked card where Llama 3.3 70B Instruct (Q4_K_M) runs comfortably, with ~23 tok/s estimated.
Does Llama 3.3 70B Instruct run on a Mac?
Yes. Llama 3.3 70B Instruct runs from the MacBook Pro M5 Max 128GB (~10 tok/s est.) up; unified memory means the RAM budget, not a VRAM wall, is the limit. Apple Silicon is often the cheapest path to large models.
What is the fastest way to run Llama 3.3 70B Instruct?
The fastest tracked machine for Llama 3.3 70B Instruct is the NVIDIA RTX PRO 6000 Blackwell at ~23 tok/s estimated. Speed is memory-bandwidth-bound, so high-bandwidth cards win.
Cite this page
ModelFit: Best hardware for Llama 3.3 70B Instruct (70B, Q4_K_M). https://modelfit.io/best-hardware-for/llama3.3-70b/ (dataset updated 2026-10-13, CC BY 4.0).