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.
AI Engineering
Visualizing All-Reduce Bandwidth: The Physics of Distributed Training
When your model doesn't fit on one GPU, you're no longer just learning coding-you're learning physics. We dive deep into the primitives of NCCL, distributed collectives, and why the interconnect is the computer.
Debugging NCCL Ring Failures
When standard tools report a healthy cluster, but your training is stalled, the culprit is often a broken ring topology. We decode specific NCCL algorithms and debugging flags.
Blackwell's Sparse Attention Engines: The Reality of FP4
FP4 isn't just 'lower precision' - it requires a fundamental rethink of activation outliers. We dive into the bit-level implementation of NVFP4, Micro-Tensor Scaling, and the new Tensor Memory hierarchy.