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Can the NVIDIA RTX PRO 6000 Blackwell run gpt-oss 20B?

RTX PRO 6000 Blackwell × gpt-oss 20B8K context
YesRuns fully on the GPU
Memory at FP1642.6 GB of 96 GB
Weights 41.8 GBKV cache 0.2 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~149tokens per second
Max context128Kthe model's full window
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX PRO 6000 Blackwell can run gpt-oss 20B fully in VRAM at FP16 (full quality), using about 42.6 GB of the 96 GB available, at roughly 149 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts gpt-oss 20B:

ollama run gpt-oss:20b

Ollama's default download is Q4_K_M (about 13.5 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX PRO 6000 Blackwell

Run it in the cloud

No NVIDIA RTX PRO 6000 Blackwell? Run gpt-oss 20B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 96 GB the NVIDIA RTX PRO 6000 Blackwell can use.

QuantQualityMemoryFits?Speed
FP16Full quality42.6 GBFits~149 tok/s
Q8_0Near-lossless23 GBFits~281 tok/s
Q6_KExcellent17.9 GBFits~364 tok/s
Q5_K_MVery good15.7 GBFits~420 tok/s
Q4_K_MGood, most popular13.5 GBFits~493 tok/s
Q3_K_MNoticeably degraded11 GBFits~611 tok/s
Q2_KHeavily degraded8.6 GBFits~796 tok/s

Measured speed from real RTX PRO 6000 Blackwell owners

Tokens per second that people measured on their own NVIDIA RTX PRO 6000 Blackwell, next to our estimate.

No one has measured gpt-oss 20B on the NVIDIA RTX PRO 6000 Blackwell yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX PRO 6000 Blackwell? Add your real speed

One command times gpt-oss 20B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gpt-oss:20b

Windows (PowerShell)

$env:GPUFIT_MODEL="gpt-oss:20b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run gpt-oss 20B comfortably

Models that run well on the NVIDIA RTX PRO 6000 Blackwell

Frequently asked questions

Can NVIDIA RTX PRO 6000 Blackwell run gpt-oss 20B?

Yes. The NVIDIA RTX PRO 6000 Blackwell can run gpt-oss 20B fully in VRAM at FP16 (full quality), using about 42.6 GB of the 96 GB available, at roughly 149 tokens/second.

How much VRAM does gpt-oss 20B need?

About 13.5 GB at Q4_K_M with 8,192 tokens of context, and about 42.6 GB at full FP16 precision.

How fast is gpt-oss 20B on the NVIDIA RTX PRO 6000 Blackwell?

Roughly 149 tokens per second at FP16, estimated from the NVIDIA RTX PRO 6000 Blackwell's 1792 GB/s memory bandwidth.