Can Ryzen AI Max+ 395 128GB run Llama-3.3-70B-Instruct?

AMD · 96 GB LPDDR5X · 215 GB/s bandwidth · Meta · 70.6B · model ctx up to 128K

ROCM

Yes — the Ryzen AI Max+ 395 128GB (96 GB LPDDR5X) can run Llama-3.3-70B-Instruct. At Q4 with the default 8K context it needs ≈ 53.83 GB VRAM (weights 38.83 GB + KV cache 14.0 GB + 1 GB runtime overhead), which fits within 96 GB. Decode at Q4/8K: ≈ 2.0 tok/s (estimated, batch 1). FP16 needs ≈ 156.2 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	46.83 GB	Yes	2.0 est.
Q4	8K default	53.83 GB	Yes	2.0 est.
Q4	32K	95.83 GB	Yes	2.0 est.
FP16	4K	149.2 GB	No	0.6 est.
FP16	8K default	156.2 GB	No	0.6 est.
FP16	32K	198.2 GB	No	0.4 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	Ryzen AI Max+ 395 128GB VRAM
Q4	38.83 GB	14.0 GB	1 GB	53.83 GB	96 GB
FP16	141.2 GB	14.0 GB	1 GB	156.2 GB	96 GB

Other GPUs that run Llama-3.3-70B-Instruct

• B200 192GB SXM — ≈72.7 tok/s Q4 est.
• MI300X 192GB — ≈48.2 tok/s Q4 est.
• H200 141GB SXM5 — ≈43.6 tok/s Q4 est.
• H100 80GB SXM5 — ≈30.5 tok/s Q4 est.
• Gaudi 3 128GB — ≈29.8 tok/s Q4 est.
• A100 80GB SXM4 — ≈18.5 tok/s Q4 est.
• MacBook Pro M4 Max 128GB — ≈11.0 tok/s Q4 measured
• Mac Studio M3 Ultra 96GB — ≈7.4 tok/s Q4 est.

All GPUs for Llama-3.3-70B-Instruct →

Other models for the Ryzen AI Max+ 395 128GB

• MiniCPM5-1B — ≈126.7 tok/s Q4 est.
• Qwen3.5-2B — ≈68.4 tok/s Q4 est.
• DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx — ≈59.5 tok/s Q4 est.
• Qwen3.6-35B-A3B — ≈45.6 tok/s Q4 est.
• Qwen3.5-35B-A3B — ≈45.6 tok/s Q4 est.
• GLM-4.7-Flash — ≈45.6 tok/s Q4 est.
• Qwen3-30B-A3B-Instruct-2507 — ≈45.6 tok/s Q4 est.
• Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 — ≈45.6 tok/s Q4 est.

All models on the Ryzen AI Max+ 395 128GB →