MoE Routing Collapse: When Your Specialists Stop Specializing
A model is only as smart as its router. We explore the physics of expert zones, the tax of token dropping, and how to keep your load balancer honest.
Tag: MoE
The Efficiency Moat - Navigating the New Economics of AI Inference
As the AI industry moves from model training to large-scale deployment, the strategic bottleneck has shifted from parameter count to inference orchestration. This post explores how advanced techniques like RadixAttention, Chunked Prefills, and Deep Expert Parallelism are redefining the ROI of GPU clusters and creating a new standard for high-performance AI infrastructure.
Business Case for JAX: JAX vs Custom C+ AI Training Stack Performance
Business case for JAX in AI training: compare JAX vs custom C++ training stack performance. See how compiler-first JAX reduces data movement overhead and improves throughput by 2.7x.