How Lightning AI Built NVIDIA SuperPODs for Cursor’s RL Training

Cursor partnered with Lightning AI, NVIDIA, and Dell to design customized NVIDIA HGX B200 SuperPODs for the reinforcement-learning workloads behind Composer, Cursor’s agentic coding model. The collaboration began nearly two years earlier with 128 HGX H100 GPUs and expanded into multiple InfiniBand-connected SuperPODs spanning Hopper and Blackwell hardware generations. Cursor sought bare-metal infrastructure that enables rapid experimentation, direct control over scheduling and runtime behavior, detailed debugging, and freedom from provider-defined software stacks that can restrict observability or performance. Lightning AI owns and operates the systems, providing monitoring, engineering support, and security practices supported by certifications including ISO 27001, SOC 2 Type II, and HIPAA. According to the account, the teams jointly designed and deployed the B200 training system in under three months, establishing a model for customer-specific AI infrastructure intended to support evolving reinforcement-learning research.

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