Does one Triton kernel run optimally on every accelerator?
No. Supported backends, operations, numerical behavior and performance vary. Portability requires validation on the target hardware and software versions.
Answered in
The CUDA Software Moat: What Triton and vLLM Make More PortableGPU portability spans kernels, libraries, serving engines and communication. Triton and vLLM reduce some switching costs without making chips identical.
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