← AI Hashrate

Can RTX 4080 Super 16GB run Kimi-K2-Thinking?

NVIDIA · 16 GB GDDR6X · 736 GB/s bandwidth · Moonshot · 1058.1B (active 32B) · MoE · model ctx up to 256K

No — Kimi-K2-Thinking at Q4 needs ≈ 586.16 GB even at 4K context, beyond the RTX 4080 Super 16GB's 16 GB GDDR6X. It would only run with heavy CPU/disk offload. FP16 needs ≈ 2123.6 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K586.16 GBNo
Q48K default589.36 GBNo
Q432K608.56 GBNo
FP164K2120.4 GBNo
FP168K default2123.6 GBNo
FP1632K2142.8 GBNo

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 neededRTX 4080 Super 16GB VRAM
Q4581.96 GB6.4 GB1 GB589.36 GB16 GB
FP162116.2 GB6.4 GB1 GB2123.6 GB16 GB

Other GPUs that run Kimi-K2-Thinking

No catalog GPU fully fits Kimi-K2-Thinking at Q4/8K — see the model page for offload estimates.

All GPUs for Kimi-K2-Thinking →

Other models for the RTX 4080 Super 16GB

All models on the RTX 4080 Super 16GB →