From bare metal to a 70B model: infrastructure set-up and scripts
The Imbue team trained a 70B parameter model, surpassing GPT-4o. They shared a guide on infrastructure setup, covering health checks, patches, tests, and addressing challenges like synchronization, failures, and bottlenecks.
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The Imbue team successfully trained a 70B parameter model on their infrastructure, outperforming GPT-4o. They share a guide on setting up infrastructure, including scripts for host health checks, NCCL patch, stress tests, and networking tests. The process involved provisioning machines, setting up InfiniBand, ensuring machine health, diagnosing issues, and improving tools. Challenges included clock synchronization, machine failures, and bandwidth bottlenecks. The team faced issues with GPU errors, PCIe cables, and firmware updates. In setting up InfiniBand, they had to rewire connections and address high temperature alerts. The cluster comprised 4,092 H100 GPUs across 511 computers, connected via InfiniBand for high-speed communication. The post emphasizes the importance of a reliable infrastructure for large-scale model training, detailing the meticulous steps taken to ensure the cluster's functionality and performance.
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The Imbue team trained a 70B parameter model, surpassing GPT-4o. They shared a guide for infrastructure setup, covering health checks, patches, tests, and addressing challenges like synchronization, failures, and bottlenecks.