Posts by Felix Li
Accelerating LLM Inference on AMD GPUs with Low-Latency GEMMs
- 29 June 2026
Large language model inference is becoming increasingly interactive. Users expect chatbots, coding assistants, agents, and real-time copilots to respond quickly, stream tokens smoothly, and stay responsive under concurrent load. In that setting, decode-time latency is not just a backend metric. It directly affects perceived quality.
Getting Started with FlyDSL Nightly Wheels on ROCm
- 20 April 2026
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.
Accelerating Kimi-K2.5 on AMD Instinct™ MI300X: Optimizing Fused MoE with FlyDSL
- 24 March 2026
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.
FlyDSL: Expert GPU Kernel Development with the Ease of MLIR Python Native DSL on AMD GPUs
- 20 February 2026
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.