Can I run DeepSeek-Coder-V2-Lite-Base on an RTX PRO 6000 Blackwell?

Yes

Its published weights (31.4 GB) fit in the 86.4 GB an RTX PRO 6000 Blackwell can use, with room for ≈ 160K tokens of context.

Full analysis of DeepSeek-Coder-V2-Lite-Base Everything that runs on RTX PRO 6000 Blackwell Get the weights on Hugging Face

hf download deepseek-ai/DeepSeek-Coder-V2-Lite-Base

Files and context on RTX PRO 6000 Blackwell

Each file of DeepSeek-Coder-V2-Lite-Base (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX PRO 6000 Blackwell	Context (16-bit)	Context (8-bit)
As published	31.4 GB	Fits	160K	160K
4-bit (estimate)	8.83 GB	Fits	160K	160K

DeepSeek-Coder-V2-Lite-Base on other hardware

NVIDIA H100Yes
RTX 5090Probably, at 4-bit
RTX 4090Probably, at 4-bit
RTX 3090Probably, at 4-bit
RTX 5060 Ti 16 GBProbably, at 4-bit
RTX 3060 12 GBProbably, at 4-bit
RTX 4060No
RTX PRO 6000 BlackwellYes
Mac with 32 GBProbably, at 4-bit
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX PRO 6000 Blackwell

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gemma-4-26B-A4B-itgoogle · 25.8B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.