← AI Hashrate

Can MI300X 192GB run Llama-3.1-70B-Instruct?

AMD · 192 GB HBM3 · 5300 GB/s bandwidth · Meta · 70.6B · model ctx up to 128K

Yes — the MI300X 192GB (192 GB HBM3) can run Llama-3.1-70B-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 192 GB. Decode at Q4/8K: ≈ 48.2 tok/s (estimated, batch 1). FP16 (≈ 156.2 GB) also fits, at ≈ 165.0 tok/s (measured). 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K46.83 GBYes48.2 est.
Q48K default53.83 GBYes48.2 est.
Q432K95.83 GBYes48.2 est.
FP164K149.2 GBYes165.0 measured
FP168K default156.2 GBYes165.0 measured
FP1632K198.2 GBNo165.0 measured

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

QuantWeightsKV cacheOverheadTotal neededMI300X 192GB VRAM
Q438.83 GB14.0 GB1 GB53.83 GB192 GB
FP16141.2 GB14.0 GB1 GB156.2 GB192 GB

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

All GPUs for Llama-3.1-70B-Instruct →

Other models for the MI300X 192GB

All models on the MI300X 192GB →