Apex GPU: Run CUDA Apps on AMD GPUs Without Recompilation(github.com)
github.com
Apex GPU: Run CUDA Apps on AMD GPUs Without Recompilation
https://github.com/kentstone84/APEX-GPU
12 comments
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Holy AI Slop
I built a lightweight (93KB) CUDA→AMD translation layer using LD_PRELOAD.
It intercepts CUDA API calls at runtime and translates them to HIP/rocBLAS/MIOpen.
No source code needed. No recompilation. Just:
- 38 CUDA Runtime functions
- 15+ cuBLAS operations (matrix multiply, etc)
- 8+ cuDNN operations (convolutions, pooling, batch norm)
- PyTorch training and inference
Built in ~10 hours using dlopen/dlsym for dynamic loading. 100% test pass rate.
The goal: break NVIDIA's CUDA vendor lock-in and make AMD GPUs viable for
existing CUDA workloads without months of porting effort.
It intercepts CUDA API calls at runtime and translates them to HIP/rocBLAS/MIOpen.
No source code needed. No recompilation. Just:
LD_PRELOAD=./libapex_hip_bridge.so ./your_cuda_app
- 38 CUDA Runtime functions
- 15+ cuBLAS operations (matrix multiply, etc)
- 8+ cuDNN operations (convolutions, pooling, batch norm)
- PyTorch training and inference
Built in ~10 hours using dlopen/dlsym for dynamic loading. 100% test pass rate.
The goal: break NVIDIA's CUDA vendor lock-in and make AMD GPUs viable for
existing CUDA workloads without months of porting effort.
> ## First Comment (Expand on technical details)
> Post this as your first comment after submitting:
lmfao
> Post this as your first comment after submitting:
lmfao
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ArchitectAI(1)
[flagged]
Please don't give oxygen to trolls. We detached and banned the account. Any time you see this kind of thing, flag the comment, and if you want to be extra-helpful, email us – [email protected].
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