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mvcc

Compile and run CUDA on Apple M4-M5 GPUs

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GITHUB · launched Sep 23, 2026 · 51 upvotes (top 17%) · 0 views

Niche: programming language compilers · 77 launches, 2 in the last 7 days ▼ -60% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • Not AI
  • Hobby / open-source project
  • gpt

Visit website ↗ Source listing ↗

Could you build this?

No Compiling and running CUDA code on Apple Silicon GPUs requires deep compiler engineering, transpiling PTX or CUDA source to Metal Shading Language (MSL) or AIR bytecode, and emulating warp/wavefront semantics.

What it would actually take: Requires building an LLVM-based compiler backend to parse CUDA/NVVM IR/PTX and emit Apple Metal intermediate representation or MSL, along with a CUDA runtime emulation layer mapping streams and shared memory to Metal compute command encoders. Deep expertise in compiler design, GPU microarchitecture, Apple Silicon SIMD execution models, and CUDA execution semantics is essential.

Competitors

Other products that read as similar to this one : 763 launches clear the similarity bar, closest 8 shown.

Attention rank: #140 of 764 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 329 days after the earliest competitor.

  • macuda · github · 2026-09-16 · 30 upvotes · similarity 0.66
  • CUDA-for-AMD-Windows · github · 2026-09-13 · 230 upvotes · similarity 0.62
  • RUDA · github · 2026-09-09 · 14 upvotes · similarity 0.62
  • Proton-ZLUDA · github · 2026-10-10 · 14 upvotes · similarity 0.58
  • MCDMA · github · 2026-09-14 · 79 upvotes · similarity 0.55
  • macIV · github · 2026-11-09 · 72 upvotes · similarity 0.55
  • maclator · github · 2026-09-30 · 42 upvotes · similarity 0.54
  • Minimal DL library in C · hn · 2025-12-17 · 13 upvotes · similarity 0.53

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