Posts by Yi Huang
Agentic Diagnosis for LLM Training at Scale
- 09 March 2026
In MaxText-Slurm: Production-Grade LLM Training with Built-In Observability, we introduced MaxText-Slurm — an open-source launch system and observability stack for running MaxText LLM training on AMD Instinct GPU clusters. We showed how a unified Prometheus time-series database (TSDB) collects GPU, host, network, and training metrics into a single queryable store, persisted to disk so that no data is lost even if the job crashes.
MaxText-Slurm: Production-Grade LLM Training with Built-In Observability
- 02 March 2026
Training large language models (LLMs) at scale on GPU clusters is not just a compute problem — it is an operations problem. Launching multi-node distributed training, keeping it running reliably, and diagnosing failures when they happen all require tooling that most training frameworks do not provide. MaxText-Slurm is an open-source launch system and observability stack that bridges this gap for MaxText on AMD Instinct GPU clusters managed by Slurm.