VAST Forward | SALT LAKE CITY, UT — February 25, 2026 — Exostellar, a leader in Heterogeneous AI infrastructure orchestration and optimization, today announced it has joined the VAST Cosmos Community, a global community of developers, builders and experts in innovative AI solutions, as a Technology Partner. Collaborating with VAST Data, the AI Operating System company, Exostellar is helping customers maximize infrastructure efficiency, performance and ROI by delivering topology-aware GPU orchestration and optimization capabilities built on the VAST AI Operating System.

Traditional AI deployments often suffer from siloed compute and storage management, leading to "blind" scheduling that ignores data locality and bottlenecks performance. Through the Cosmos Partner Program, VAST, and Exostellar have aligned on a consistent framework to build, validate, and scale AI-ready solutions that will reduce job delays and improve performance for multi-vendor GPU environments—as a unified, high-performance resource.

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"Enterprises are looking for a simpler, more consistent way to deploy production AI, backed by validated integrations they can trust," said John Mao, Vice President,Global Technology Alliances at VAST Data. "We’re proud to welcome Exostellar into the VAST Cosmos Community, expanding the ecosystem of industry-leading solutions built on the VAST AI Operating System."

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"It is a big milestone to join the VAST Cosmos program for Exostellar as we focus on delivering faster, cost-effective training and inference for complex AI environments," said Tony Shakib, CEO of Exostellar. "By aligning Exostellar solutions with the VAST AI Operating System, we are ensuring compute and storage work in lockstep through storage-locality-aware scheduling to eliminate the bottlenecks that stall innovation.

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Exostellar's joint value centers on "co-optimization" between the storage layer and infrastructure management. This Technology Partnership will enable organizations utilizing Exostellar in a VAST environment to experience:

1. Optimized Data Locality: Reducing delays by scheduling jobs based on storage topology to ensure workloads get the maximum benefit from VAST’s performance.
2. Full-Stack Efficiency: Combining storage, infrastructure management, and GPU optimization into a seamless experience for training and inference workloads.
3. Increased Infrastructure ROI: Maximizing multi-vendor GPU utilization alongside VAST's unified data services to reduce overall costs.

For details or to start a trial, visit exostellar.ai/aim-free-trial.