Local AI Advisor

Can NVIDIA DGX Spark (GB10) · 64 GB run DeepSeek-V4.1-Flash (748B-A16B)?

64 GB unified · 273 GB/s memory bandwidth · DeepSeek-V4.1-Flash (748B-A16B) has 748B parameters (16B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈428 GB but only ≈57 GB is available after the OS, other apps and Open WebUI.

Why it doesn’t fit

Even its smallest practical version (Q4_K_M) needs about 428 GB for the model, its context memory and the runtime. After the operating system (≈3.2 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), NVIDIA DGX Spark (GB10) · 64 GB has about 57 GB left, so it’s 371 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 368 GB short.

  • Pick a smaller model from the same family

    No smaller DeepSeek-V4 model in our catalog runs well here. See the other models below.

  • Get more memory

    You’d want at least 435 GB of memory in total. The machines below are the cheapest that run it comfortably.

  • Check your exact setup

    These pages assume typical settings. A shorter context or a lighter chat app can change the answer.

    Check NVIDIA DGX Spark (GB10) · 64 GB

The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.

Other models for NVIDIA DGX Spark (GB10) · 64 GB

The best-rated models for chat on this machine.

Everything NVIDIA DGX Spark (GB10) · 64 GB can run

Cheapest machines for DeepSeek-V4.1-Flash (748B-A16B)

Hardware rated comfortable or better for chat, lowest price first.

Same chip, other memory: 128 GB

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup