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Today: 1,953 launches · Niche of the day: specialized calculation tools · See what launched today →

qwenGPU

Qwen3.5-2B with a SIMT GPU inside its weights, 45 compiled layers in front of Qwen’s own, using its Gated DeltaNet layers as registers and memory.

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GITHUB · launched Nov 1, 2026 · 117 upvotes (top 36%) · 0 views

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Compiling a SIMT GPU into the weights of a language model is novel ML research at the level of model internals, far beyond vibe coding.

What it would actually take: Building this requires understanding transformer internals, GPU execution models, and how to encode computation into Gated DeltaNet state and weights, then verifying it with custom compilers and evaluation harnesses. It needs ML research expertise and compiler engineering.

Competitors

Other products that read as similar to this one : 276 launches clear the similarity bar, closest 8 shown.

Attention rank: #112 of 277 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 359 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.