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docs/stable/developer/_category_.json

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+  "label": "Developer Guide",
+  "position": 6
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docs/stable/developer/supporting_a_new_hardware.md

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+
+# Supporting a New Hardware
+
+ServerlessLLM actively expands support for new hardware configurations to meet diverse deployment needs.
+
+## Support Standards
+Hardware is considered supported by ServerlessLLM if:
+1. Any of the inference backends used (e.g., Transformers, vLLM) can run model inference on the hardware.
+2. ServerlessLLM Store can successfully load model checkpoints on the hardware.
+
+## Steps to Support a New Hardware
+1. **Check Inference Backend Compatibility**: Refer to the specific inference backend documentation (e.g., for vLLM, Transformers) for hardware support.
+2. **ServerlessLLM Store Configuration**:
+   - If the hardware provides CUDA-compatible APIs (e.g., ROCm), adjust the build script (`CMakeLists.txt`) by adding necessary compiler flags.
+   - For non-CUDA-compatible APIs, implementing a custom checkpoint loading function might be required.
+
+## Verifying Hardware Support in ServerlessLLM Store
+The hardware support is verified if it successfully completes the [Quick Start Guide](https://serverlessllm.github.io/docs/stable/getting_started/quickstart/) examples, showcasing checkpoint loading and inference functionality without errors.
+
+If the hardware is not publicly available (i.e., can't be tested by the ServerlessLLM team), a screenshot or output log of the successful execution of the Quick Start Guide examples is required to verify hardware support.
+
+If you encounter any issues or have questions, please reach out to the ServerlessLLM team by raising an issue on the [GitHub repository](https://github.com/ServerlessLLM/ServerlessLLM/issues).