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@@ -70,8 +70,8 @@ Embed AMD-optimized AI into end-user applications.
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Bring existing workloads onto AMD.
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| Skill | What it does | Source |
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|[`serving-llms-on-instinct`](skills/serving-llms-on-instinct/SKILL.md)| Deploy LLM inference on AMD Instinct GPUs end-to-end: detect hardware (or onboard via AMD Developer Cloud), validate model fit, apply the right vLLM recipe, and launch a benchmarked endpoint. SGLang and engine/backend selection in later phases. | in-repo |
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| --- | --- | --- |
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|[`serving-llms-on-instinct`](skills/serving-llms-on-instinct/SKILL.md)| Deploy LLM inference on AMD Instinct GPUs end-to-end: detect hardware (or onboard via AMD Developer Cloud), validate model fit, apply the right vLLM recipe, and launch a benchmarked endpoint. SGLang and engine/backend selection in later phases. | in-repo |
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|`cuda-to-hip`| Port CUDA kernels with `hipify` and flag anything that needs manual review. |_planned_|
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|`vllm-rocm`| Stand up vLLM on AMD with the right environment variables and model configurations. |_planned_|
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