Can I Run GPT-OSS on NVIDIA GeForce RTX 4090?

作者: Jakub Rusinowski · 最后更新: 2026年8月15日

Yes, comfortably — you'll have ~13.4 GB of headroom running GPT-OSS 20B at MXFP4 (10.625 GB, ~72 tok/s (est.)).

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NVIDIA GeForce RTX 4090 24GB
24 GB VRAM · 450 W board power
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NVIDIA GeForce RTX 4090 Specs

VRAM24 GB
Memory Bandwidth1008 GB/s

GPT-OSS 20B on the NVIDIA GeForce RTX 4090: VRAM by quantization

QuantVRAM neededFits 24 GB?Max context
F1641 GB✗ No
Q8_022.3 GB✓ Yes32K
Q6_K17.4 GB✓ Yes128K
Q5_K_M15.2 GB✓ Yes128K
Q4_K_M13.1 GB✓ Yes128K
Q3_K_M9.5 GB✓ Yes128K
Q2_K7.6 GB✓ Yes128K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

GPT-OSS Sizes That Fit the NVIDIA GeForce RTX 4090

GPT-OSS 20BMXFP4 · 10.625 GB · ~72 tok/s (est.)
Buy vs. rent GPT-OSS
Buy the GPU
~$1,599
NVIDIA GeForce RTX 4090 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,599) beats renting at $0.34/hr after about 6.5 years.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Does the NVIDIA GeForce RTX 4090 have enough VRAM for GPT-OSS?

Yes, comfortably — you'll have ~13.4 GB of headroom running GPT-OSS 20B at MXFP4 (10.625 GB, ~72 tok/s (est.)).

Which quantization of GPT-OSS should I use on the NVIDIA GeForce RTX 4090?

GPT-OSS 20B at MXFP4 quantization (10.625 GB), estimated ~72 tokens/sec.

Every GPT-OSS size on the NVIDIA GeForce RTX 4090

SizeVRAMVerdictSpeed
GPT-oss 120B72.5 GBDoes not fit
GPT-OSS 20B10.6 GBRuns~72 tok/s

GPT-OSS on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4090

VRAM Tier

Troubleshooting

Buying Guide

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