Written by Jakub Rusinowski · Last updated August 15, 2026
No — GPT-OSS doesn't fit the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB. The cheapest card that runs it is the NVIDIA GeForce RTX 5070 (12 GB).
| VRAM | 10 GB |
| Memory Bandwidth | 760 GB/s |
| Quant | VRAM needed | Fits 10 GB? | Max context |
|---|---|---|---|
| F16 | 41 GB | ✗ No | — |
| Q8_0 | 22.3 GB | ✗ No | — |
| Q6_K | 17.4 GB | ✗ No | — |
| Q5_K_M | 15.2 GB | ✗ No | — |
| Q4_K_M | 13.1 GB | ✗ No | — |
| Q3_K_M | 9.5 GB | ✓ Yes | 8K |
| Q2_K | 7.6 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 10 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Every GPT-OSS variant requires more VRAM than the NVIDIA GeForce RTX 3080 (10GB) provides (10 GB).
NVIDIA GeForce RTX 5070 (12 GB VRAM).
GPT-OSS needs ~11 GB but this GPU has 10 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
No — GPT-OSS doesn't fit the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB. The cheapest card that runs it is the NVIDIA GeForce RTX 5070 (12 GB).
The NVIDIA GeForce RTX 5070 (12 GB VRAM) is the cheapest upgrade that fits it.
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