Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Yes, comfortably — you'll have ~25.5 GB of headroom running GPT-oss 120B at Q4_K_M (70.518 GB, ~224 tok/s (est.)) with room for up to 128K context.
or compare on Vast.ai from $0.77/hr (typical low · varies)
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| VRAM | 96 GB |
| Memory Bandwidth | 1792 GB/s |
| Quant | VRAM needed | Fits 96 GB? | Max context |
|---|---|---|---|
| F16 | 234.7 GB | ✗ No | — |
| Q8_0 | 125.2 GB | ✗ No | — |
| Q6_K | 96.9 GB | ✗ No | — |
| Q5_K_M | 83.9 GB | ✓ Yes | 128K |
| Q4_K_M | 71.6 GB | ✓ Yes | 128K |
| Q3_K_M | 50.9 GB | ✓ Yes | 128K |
| Q2_K | 39.5 GB | ✓ Yes | 128K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 96 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GPT-oss 120B | Q4_K_M · 70.518 GB · ~224 tok/s (est.) |
| GPT-OSS 20B | MXFP4 · 11.103124999999999 GB · ~275 tok/s (est.) |
At 2 hrs/day, buying (~$8,565) beats renting at $0.77/hr after about 15.4 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~25.5 GB of headroom running GPT-oss 120B at Q4_K_M (70.518 GB, ~224 tok/s (est.)) with room for up to 128K context.
GPT-oss 120B at Q4_K_M quantization (70.518 GB), estimated ~224 tokens/sec, up to 128K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| GPT-oss 120B | 70.5 GB | Runs | ~224 tok/s |
| GPT-OSS 20B | 11.1 GB | Runs | ~275 tok/s |
← Can I Run It? | GPT-OSS Model Page | NVIDIA RTX PRO 6000 Blackwell GPU Page | Check Your Hardware