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Can NVIDIA RTX 6000 Ada run mlx-community/gpt-oss-20b-MXFP4-Q8?

Runs Q448GB VRAM availableRequires 10GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of mlx-community/gpt-oss-20b-MXFP4-Q8. 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 mlx-community/gpt-oss-20b-MXFP4-Q8 with Q4 quantization. At approximately 102 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

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

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q410GB48GB102.46 tok/s✅ Fits comfortably
Q820GB48GB67.99 tok/s✅ Fits comfortably
FP1641GB48GB34.43 tok/s✅ Fits comfortably

Best current price

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

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
407.66 tok/s
Price: —
AMD Instinct MI300X
192GB
388.96 tok/s
Price: —
AMD Instinct MI300X
192GB
302.29 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
290.94 tok/s
Price: —
AMD Instinct MI250X
128GB
288.22 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for mlx-community/gpt-oss-20b-MXFP4-Q8mlx-community/gpt-oss-20b-MXFP4-Q8 speed on NVIDIA RTX 6000 Adamlx-community/gpt-oss-20b-MXFP4-Q8 Q4 requirements