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Can NVIDIA RTX 6000 Ada run openai/gpt-oss-20b?

Runs Q448GB VRAM availableRequires 10GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of openai/gpt-oss-20b. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA RTX 6000 Ada can run openai/gpt-oss-20b with Q4 quantization. At approximately 91 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 38GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q410GB48GB91.11 tok/s✅ Fits comfortably
Q820GB48GB66.62 tok/s✅ Fits comfortably
FP1641GB48GB40.65 tok/s✅ Fits comfortably

Best current price

NVIDIA RTX 6000 Ada
$7,199.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
413.08 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
396.99 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
296.02 tok/s
Price: —
AMD Instinct MI300X
192GB
292.98 tok/s
Price: —
AMD Instinct MI250X
128GB
282.04 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for openai/gpt-oss-20bopenai/gpt-oss-20b speed on NVIDIA RTX 6000 Adaopenai/gpt-oss-20b Q4 requirements