Posts by Felix Li

Getting Started with FlyDSL Nightly Wheels on ROCm

In the previous post on FlyDSL, we introduced the motivation behind FlyDSL and how it enables Python-native GPU kernel development using the AMD ROCm™ software stack. FlyDSL combines the flexibility of Python with the performance of MLIR and LLVM-based compilation, allowing developers to write GPU kernels in Python while targeting modern AMD hardware.

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Accelerating Kimi-K2.5 on AMD Instinct™ MI300X: Optimizing Fused MoE with FlyDSL

With the recent surge in popularity of OpenClaw [1], its officially recommended model, Kimi-K2.5 [2], has taken the AI community by storm. As developers and researchers flock to this powerful Mixture-of-Experts (MoE) LLM, the need for high-performance inference on cutting-edge hardware has never been more critical.

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FlyDSL: Expert GPU Kernel Development with the Ease of MLIR Python Native DSL on AMD GPUs

The AMD ROCm™ software ecosystem continues to grow rapidly as developers build new kernels, compilers, and AI frameworks optimized for AMD GPUs. As workloads become more complex and the demand for both performance and agility increases, a clear need has emerged for a modern, flexible, and open GPU kernel authoring framework.

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