Santa Clara, Calif— January 13 — Exostellar, a leader in AI infrastructure orchestration and optimization, today announced its selection into the prestigious Microsoft for Startups Pegasus Program. This collaboration will empower customers to leverage the full power of the Azure GPUs, using Exostellar's technology to provide multi-cluster federation for quicker allocation and higher utilization, enabled by topology-aware scheduling and flexible fractionalization.
“We’re excited to welcome Exostellar to the Microsoft for Startups Pegasus Program.This initiative gives select startups access to Azure’s cutting-edge AI models, enterprise-grade security and privacy, and unique go-to-market support to accelerate growth. Through Pegasus, startups can build fast, scale smart, and sell more by tapping into the full power of Azure and the Microsoft ecosystem,”said Tom Davis, Partner, Microsoft for Startups.
“Joining Pegasus is a pivotal moment,” said Tony Shakib, CEO of Exostellar. “Our platform eliminates GPU delays and boosts utilization to over 90%, essentially turning existing hardware investments into more compute power. Partnering withMicrosoft and Azure will exponentially accelerate our ability to deliver this critical value, allowing enterprises globally to build fast and scale smart.”
The Microsoft for Startups Pegasus Program is an exclusive, invitation-only initiative designed to help the world’s most promising B2B startups build, scale, and sell to the enterprise. Acceptance into the program provides Exostellar with access to strategic support, expert guidance, and co-selling opportunities with Microsoft’s global sales team.
This partnership provides businesses with a single control plane to manage heterogeneous GPU resources across Azure's cloud data center regions, enhancing utilization and reducing delays through more accurate workload placement. The combined capabilities make it easier for infrastructure, research, and platform teams to run AI workloads on Azure efficiently while reducing operational effort.
