Can I Run GPT-OSS on NVIDIA GeForce RTX 5080?

Written by Jakub Rusinowski · Last updated August 15, 2026

Yes, comfortably — you'll have ~5.4 GB of headroom running GPT-OSS 20B at MXFP4 (10.625 GB, ~64 tok/s (est.)).

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NVIDIA GeForce RTX 5080 16GB
Launch MSRP: $999
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA GeForce RTX 5080 Specs

VRAM16 GB
Memory Bandwidth960 GB/s

GPT-OSS 20B on the NVIDIA GeForce RTX 5080: VRAM by quantization

QuantVRAM neededFits 16 GB?Max context
F1641 GB✗ No
Q8_022.3 GB✗ No
Q6_K17.4 GB✗ No
Q5_K_M15.2 GB✓ Yes16K
Q4_K_M13.1 GB✓ Yes32K
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 16 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 5080

GPT-OSS 20BMXFP4 · 10.625 GB · ~64 tok/s (est.)
Buy vs. rent GPT-OSS
Buy the GPU
~$999
NVIDIA GeForce RTX 5080 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 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

Is the NVIDIA GeForce RTX 5080 enough to run GPT-OSS locally?

Yes, comfortably — you'll have ~5.4 GB of headroom running GPT-OSS 20B at MXFP4 (10.625 GB, ~64 tok/s (est.)).

What's the best GPT-OSS size for the NVIDIA GeForce RTX 5080?

GPT-OSS 20B at MXFP4 quantization (10.625 GB), estimated ~64 tokens/sec.

GPT-OSS on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5080

VRAM Tier

Troubleshooting

Buying Guide

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