Can Ryzen AI Max 390 64GB run Llama-3.1-70B-Instruct?

AMD · 48 GB LPDDR5X · 215 GB/s bandwidth · Meta · 70.6B · model ctx up to 128K

ROCM

Partly — Llama-3.1-70B-Instruct at Q4 fits the Ryzen AI Max 390 64GB (48 GB LPDDR5X) at 4K context (≈ 46.83 GB) but not at the default 8K (≈ 53.83 GB needed). Use a shorter context or partial offload. Decode at Q4/8K: ≈ 4.4 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	No	4.4 est.
Q4	32K	95.83 GB	No	1.4 est.
FP16	4K	149.2 GB	No	0.2 est.
FP16	8K default	156.2 GB	No	0.1 est.
FP16	32K	198.2 GB	No	—

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 390 64GB VRAM
Q4	38.83 GB	14.0 GB	1 GB	53.83 GB	48 GB
FP16	141.2 GB	14.0 GB	1 GB	156.2 GB	48 GB

Other GPUs that run Llama-3.1-70B-Instruct

• B200 192GB SXM — ≈520.0 tok/s Q4 measured
• 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.
• Mac Studio M3 Ultra 96GB — ≈14.1 tok/s Q4 measured
• MacBook Pro M4 Max 128GB — ≈12.0 tok/s Q4 measured
• MacBook Pro M3 Max 128GB — ≈9.0 tok/s Q4 measured

All GPUs for Llama-3.1-70B-Instruct →

Other models for the Ryzen AI Max 390 64GB

• 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 390 64GB →