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Can NVIDIA RTX 6000 Ada run Qwen/Qwen2.5-72B-Instruct?

Runs Q448GB VRAM availableRequires 35GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-72B-Instruct. 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 Qwen/Qwen2.5-72B-Instruct with Q4 quantization. At approximately 36 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 13GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q435GB48GB36.36 tok/s✅ Fits comfortably
Q870GB48GB23.78 tok/s❌ Not recommended
FP16141GB48GB13.93 tok/s❌ Not recommended

Best current price

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

Suitable alternatives

AMD Instinct MI300X
192GB
153.28 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
126.76 tok/s
Price: —
AMD Instinct MI300X
192GB
107.35 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
99.80 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
98.56 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for Qwen/Qwen2.5-72B-InstructQwen/Qwen2.5-72B-Instruct speed on NVIDIA RTX 6000 AdaQwen/Qwen2.5-72B-Instruct Q4 requirements