[doc]: update web doc and kt-kernel doc (#1609)
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* [doc]: update web doc and kt-kernel doc

* [doc](book.toml): add book.toml for rust book compile
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ZiWei Yuan 2025-11-13 20:44:13 +08:00 committed by GitHub
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# KT-Kernel
High-performance kernel operations for KTransformers, featuring CPU-optimized MoE inference with AMX, AVX, and KML support.
High-performance kernel operations for KTransformers, featuring CPU-optimized MoE inference with AMX, AVX, KML and blis (amd library) support.
- [Note](#note)
- [Features](#features)
- [Installation](#installation)
- [Prerequisites](#prerequisites)
- [Quick Installation (Recommended)](#quick-installation-recommended)
- [Manual Configuration (Advanced)](#manual-configuration-advanced)
- [Verification](#verification)
- [Integration with SGLang](#integration-with-sglang)
- [Installation Steps](#installation-steps)
- [Complete Example: Qwen3-30B-A3B](#complete-example-qwen3-30b-a3b)
- [KT-Kernel Parameters](#kt-kernel-parameters)
- [Direct Python API Usage](#direct-python-api-usage)
- [Advanced Options](#advanced-options)
- [Build Configuration](#build-configuration)
- [Manual Installation](#manual-installation)
- [Error Troubleshooting](#error-troubleshooting)
- [CUDA Not Found](#cuda-not-found)
- [hwloc Not Found](#hwloc-not-found)
- [Weight Quantization](#weight-quantization)
- [CPU Weights (for "cold" experts on CPU)](#cpu-weights-for-cold-experts-on-cpu)
- [GPU Weights (for "hot" experts on GPU)](#gpu-weights-for-hot-experts-on-gpu)
- [Before Commit!](#before-commit)
## Note
**Current Support Status:**