Solo dev enables running CUDA on AMD hardware in Windows, getting multiple CUDA libraries running on a gaming Radeon RX 9060 XT GPU in Windows — CUDA-exclusive workloads on AMD hardware in Windows possible without virtualization or dual-booting
- ID
- 24258
- Status
- summarized
- Published
- 14 Sep 2026, 10:23 PM
- Fetched
- 15 Sep 2026, 12:27 AM
- Provider
- Tom's Hardware
- Category
- technology
- Original URL
- https://www.tomshardware.com/pc-components/gpu-drivers/solo-developer-wires-zluda-to-amds-hip-getting-multiple-cuda-libraries-running-on-a-radeon-rx-9060-xt-in-windows-cuda-exclusive-workloads-on-amd-hardware-in-windows-is-possible-without-virtualization-or-dual-booting
- Source URL
- https://www.tomshardware.com/feeds/all
Summary
- Score
- 7.0
- Created
- 15 Sep 2026, 12:29 AM
- Tags
- Audience
- developersai_ml_learnersvibe_coders
What happened
A solo developer connected ZLUDA to AMD's HIP, successfully running multiple CUDA libraries on a Radeon RX 9060 XT GPU in Windows without virtualization or dual-booting. This means CUDA-exclusive workloads — including many AI/ML pipelines — can now potentially run on AMD consumer GPUs in a native Windows environment.
Why it matters
If you're building or learning AI/ML on a budget and own an AMD Radeon GPU, this could let you run CUDA-dependent libraries and tools without buying NVIDIA hardware or setting up Linux. For Malaysian builders where import costs make NVIDIA GPUs significantly more expensive, this is worth testing before your next hardware purchase — though expect rough edges since this is a solo project, not a vendor-supported stack.
Discussion angle
Is this practical enough for real AI/ML workloads, or is it a proof-of-concept that breaks on anything beyond toy examples? Worth discussing what CUDA-dependent tools the audience actually uses and whether ZLUDA-on-Windows covers them.