作者： Jakub Rusinowski · 最后更新： 2026年4月1日
No — GPT-oss 120B doesn't fit the NVIDIA GeForce RTX 5090's 32 GB; you're short by ~46.6 GB even at Q2_K. The cheapest card that runs it is the NVIDIA A100 80GB (80 GB).
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context |
|---|---|---|---|
| F16 | 279.2 GB | ✗ No | — |
| Q8_0 | 166.7 GB | ✗ No | — |
| Q6_K | 137.6 GB | ✗ No | — |
| Q5_K_M | 124.2 GB | ✗ No | — |
| Q4_K_M | 111.7 GB | ✗ No | — |
| Q3_K_M | 90.4 GB | ✗ No | — |
| Q2_K | 78.6 GB | ✗ No | — |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Every GPT-oss 120B variant requires more VRAM than the NVIDIA GeForce RTX 5090 provides (32 GB).
NVIDIA A100 80GB (80 GB VRAM).
GPT-oss 120B needs ~65 GB but this GPU has 32 GB. Rent a A100 (80 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 120B doesn't fit the NVIDIA GeForce RTX 5090's 32 GB; you're short by ~46.6 GB even at Q2_K. The cheapest card that runs it is the NVIDIA A100 80GB (80 GB).
The NVIDIA A100 80GB (80 GB VRAM) is the cheapest upgrade that fits it.
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