Tools & ProjectsNovember 02, 2026
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DeepSeek-V4.1 tamed on two Sparks
A new project demonstrates running DeepSeek-V4.1-Flash on two DGX Spark systems using TensorFold, delivering roughly 1.8x faster code generation.
#DeepSeek#TensorFold#DGX Spark#vLLM#Inference
🔥 What happened
A developer is serving DeepSeek-V4.1-Flash-1017 on two NVIDIA DGX Sparks using a 2.8-bit EXL3 quant (203.8 GB) behind an OpenAI-compatible API. The build pins a TensorFold fork that hasn't landed on upstream main yet.
💡 Why it matters
1M context, vision, tool calling, and four slots on two 128 GB boxes — a full serving stack for under $10K in hardware. Benchmarks show parity with the previous engine, but the 356-item sample is too small for statistical significance.
⚡ Our take
Impressive tinkering, but "work in progress" is earned: a fork pin and 356 test items are not a production recipe. Deploying this blindly is Russian roulette with your API.
The title, summary and analysis of this item were produced automatically by an AI system and have not been editorially reviewed. They may contain errors, bias or omissions — when in doubt, read the linked original source.
