SANTA CLARA, Calif. — Exostellar, a leader in AI infrastructure orchestration and optimization, has announced the general availability of its AIM (AI Infrastructure Management) platform — the industry’s first solution designed to provide unified control over multi-cluster GPU environments across on-premises, cloud, bare metal, and GPU-as-a-Service deployments. The platform offers a single pane of glass for managing and optimizing heterogeneous accelerators from NVIDIA, AMD, and Intel, enabling organizations to streamline operations, improve resource utilization, and reduce costs in complex AI workloads. With the rapid growth of generative AI and large-scale model training, enterprises are increasingly relying on diverse compute environments that span multiple providers and hardware types. However, managing these fragmented systems has become a major operational challenge. AIM addresses this by delivering centralized visibility, automated workload placement, real-time performance monitoring, and intelligent resource allocation across hybrid and multi-cloud infrastructures. The platform supports dynamic scaling, cost optimization, and policy-based governance, helping data science and engineering teams deploy models faster and with greater efficiency. It also integrates with popular AI development tools and frameworks, allowing seamless adoption within existing workflows. Exostellar’s AIM platform is built to handle the complexity of modern AI infrastructure, where performance, flexibility, and cost are critical. By unifying control across diverse hardware and environments, the solution empowers organizations to scale AI operations without being locked into a single vendor or architecture. The company says the platform is already being used by leading AI labs and enterprises to manage large-scale training and inference workloads, with early adopters reporting significant improvements in cluster utilization and reduced time-to-deployment. Exostellar continues to expand its ecosystem, partnering with major cloud providers and hardware vendors to ensure broad compatibility and future readiness. With the launch of AIM, the company positions itself at the forefront of the next generation of AI infrastructure management.