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David Ondrej
David Ondrej logoDavid Ondrej · Feature trail

High-performance AI compute clusters

1 video · Aug 2026

What this trail covers

This post introduces the concept and practical implementation of building a high-performance AI compute cluster using dual DGX systems and Spark. It details the hardware setup, networking considerations, and software configuration required to achieve significant computational power for AI workloads. The focus is on the engineering challenges and solutions for creating a robust and scalable AI training environment.

All David Ondrej trails
  1. My double DGX Spark setupDavid Ondrej details the setup of a dual DGX Spark cluster, outlining the hardware configuration (two DGX machines), networking infrastructure (likely high-speed interconnects given the context of DGX systems), and the integration with Apache Spark for distributed computing. The post emphasizes the practical aspects of assembling such a powerful compute environment for AI tasks, implying a focus on performance and scalability for demanding workloads.