Modal’s coding-agent serving analysis emphasizes reuse of overlapping context, and Mozilla.ai’s local-model benchmark finds configuration can outweigh engine selection. Builders should optimize the whole serving and tool-use path, not assume a faster or larger model alone will improve throughput.
From the Field Notes:
- Hitting a billion tokens per minute on one GPU by combining a query planner and an inference engine (2026-09-27)
- Why AI Assistants Are Slow—and How to Make Them Faster (2026-09-26)
- How to serve trillions of tokens for trillion (2026-09-25)
- Mozilla.ai benchmark finds build flags beat server choice for local LLMs (2026-09-24)