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Can NVIDIA RTX 6000 Ada run deepseek-ai/DeepSeek-OCR?

Runs Q448GB VRAM availableRequires 2GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-OCR. 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 deepseek-ai/DeepSeek-OCR with Q4 quantization. At approximately 245 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 46GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB48GB244.96 tok/s✅ Fits comfortably
Q84GB48GB145.02 tok/s✅ Fits comfortably
FP167GB48GB91.43 tok/s✅ Fits comfortably

Best current price

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

Suitable alternatives

AMD Instinct MI300X
192GB
896.80 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
853.31 tok/s
Price: —
AMD Instinct MI300X
192GB
718.31 tok/s
Price: —
AMD Instinct MI250X
128GB
610.41 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
607.24 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for deepseek-ai/DeepSeek-OCRdeepseek-ai/DeepSeek-OCR speed on NVIDIA RTX 6000 Adadeepseek-ai/DeepSeek-OCR Q4 requirements