Can the GeForce RTX 5090 run Kimi K2 Instruct?
Does not fit at Q4_K_M.
Kimi K2 Instruct is 1000B parameters (MoE; all experts resident). At Q4_K_M the weights are about 558.8 GiB; with the 1.5 GiB runtime reserve that is 560.3 GiB against the card's 32GB, about 528.3 GiB more than the card has.
All three quants
32GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 558.8 GiB | 560.3 GiB | Does not fit | short 528.3 GiB |
| Q8_0near-lossless | 987.2 GiB | 988.7 GiB | Does not fit | short 956.7 GiB |
| FP16full weights | 1862.6 GiB | 1864.1 GiB | Does not fit | short 1832.1 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
The numbers for this pairing
At Q4_K_M the weights take about 558.8 GiB, so with the 1.5 GiB runtime reserve it needs 560.3 GB: 528.3 GB more than the card's 32 GB.
No version of it fits entirely in this card's memory, so it would lean on system RAM and run far slower.
It is a mixture-of-experts model: about 32B of its 1000B parameters work on each token, which helps speed, but all of them still have to fit in memory.
At about $6,500, this card costs roughly $203 per GB of VRAM.
Running it at its full 575 W board power for 4 hours a day would use about 69 kWh a month, about $12.70 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.
Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Not this card. These fit it comfortably at Q4.
Nothing in the consumer catalog fits Kimi K2 Instruct at Q4 on a single card; this is multi-GPU or datacenter territory, or a job for hosted inference (see PicksByModel for per-token pricing).
What the GeForce RTX 5090 does run well → · Kimi K2 Instruct on every card →
About the model
Kimi K2 Instruct by Moonshot AI: 131,072-token native context, text, released 2025 under the Modified MIT. Model card → · Hosted pricing on PicksByModel →