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macuda

CUDA on an Apple Silicon Mac over Thunderbolt with no NVIDIA driver: a C userspace NVIDIA driver (libtinynv) plus cudart/cublas shims running unmodified llama.cpp and stable-diffusion.cpp on an RTX 5090 eGPU

Details

External ID
1372373127
Source
GITHUB
Company
—
Product
macuda
Website domain
github.com
Launched
Sept. 16, 2026
Cohort
—
Upvotes
30
Upvotes percentile
0.7248911094030234
Tags
apple-silicon, cuda, egpu, gpu-driver, llama-cpp, macos, nvidia, thunderbolt, tinygrad
Fetched at
Sept. 20, 2026, 5:44 p.m.
Updated at
Sept. 20, 2026, 5:44 p.m.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
cuda support for apple silicon egpus
Manually corrected
False

Could you build this?

No Writing a custom C userspace NVIDIA driver and CUDA runtime/cublas shims over Thunderbolt for Apple Silicon requires elite low-level reverse engineering, hardware architecture expertise, and GPU driver development.

What it would actually take: Requires deep reverse-engineering of NVIDIA's proprietary GPU command submission protocols, memory mapping, PCIe/Thunderbolt BAR management, and undocumented microarchitectural interfaces (e.g. Blackwell/Ada). The stack involves writing custom kernel/userspace drivers in C/C++ (libtinynv) interacting via macOS IOKit/PCIDriverKit, alongside reimplementing subsets of CUDA runtime (cudart) and BLAS interfaces. This demands specialized systems programming expertise in OS kernels, GPU hardware registers, and binary reverse engineering.

Competitors

Other products that read as similar to this one — 310 launches clear the similarity bar, closest 8 shown.

Attention rank: #93 of 311 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 322 days after the earliest competitor.

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