kernels
2 stories filed under kernels on Beyond Market Intelligence. The newest of them: “A free guide to making ML models faster, from silicon to agents” and “Unlock Deeper TPU Insights: Cycle-Level Profiling Now Available in XProf”. Performance engineering isn't just about reducing FLOPs. For developers wrestling with TPU workloads, opaque blocks in trace captures have long been a frustration. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every kernels story on Beyond Market Intelligence, newest first.
A free guide to making ML models faster, from silicon to agents
Performance engineering isn't just about reducing FLOPs. Usamah Zakir spent months writing the guide he wished he'd had when starting out: *How to Make Your Model Fast*. It moves from silicon to agents, using roofline analysis to help you diagnose whether you're compute, bandwidth, or memory bound before optimizing. That systems-first thinking is rare and valuable. The whole thing is free and open source. If you're working on inference or edge AI, it's worth exploring.
Unlock Deeper TPU Insights: Cycle-Level Profiling Now Available in XProf
For developers wrestling with TPU workloads, opaque blocks in trace captures have long been a frustration. Google's addition of a Kernel Profiling suite to XProf changes that. This open-source profiler now exposes cycle-level details for custom Pallas kernels, turning what was once a black box into a map of precise execution paths. It's a practical step toward finer-tuned performance work. Claudio Masolo's report is worth your attention, especially if you're already exploring how AI tools reshape developer workflows.