Posts by Arthur Huang

GEAK Agent-Driven Optimization of the DeepSeekV4 MLA Kernel

Optimizing LLM inference kernels requires more than a single kernel rewrite. Developers need to migrate reference implementations, analyze profiling results, validate correctness, and iterate quickly across different workload shapes. In this blog, we use DeepSeekV4 MLA as a case study to show how GEAK automates this workflow, from PyTorch-to-Triton migration to kernel-level optimization and SGLang end-to-end(E2E) validation on AMD GPUs.

Read more ...