SANTA CLARA, Calif.--(BUSINESS WIRE)--

Exostellar, a leader in AI infrastructure orchestration and optimization, today announced the general availability (GA) of its AIM (AI Infrastructure Management) platform — the industry’s first solution to deliver unified control of multi-cluster GPU environments spanning on-premises, cloud, bare metal, and GPU-as-a-Service deployments. AIM provides a single pane of glass for managing and optimizing heterogeneous accelerators across NVIDIA, AMD, Intel, and Qualcomm platforms, empowering enterprises to operate AI infrastructure with complete flexibility and maximum efficiency.

“Open ecosystems are key to building next-generation AI infrastructure,” said Anush E, Vice President, AI Software at AMD. “Together with Exostellar, we’re enabling advanced capabilities like topology-aware scheduling and resource bin-packing on AMD Instinct™ accelerators, helping enterprises maximize GPU efficiency and shorten time to value for AI workloads.”

As organizations scale AI workloads across clouds, data centers, and vendors, they face unprecedented complexity, idle resources, and fragmented management tools. Exostellar AIM resolves these challenges by providing a centralized control plane that enables real-time orchestration, quota management, and workload mobility across all GPU clusters—regardless of vendor or location.

“AI infrastructure has become fragmented, with each cluster and GPU type managed in isolation,” said Tony Shakib, CEO of Exostellar. “AIM unifies this complexity, giving enterprises a single, intelligent control layer that lets them operate every GPU across every cluster as one cohesive platform. This not only empowers infrastructure teams to manage more clusters with ease, but also enables AI developers to gain faster access to the compute they need — accelerating innovation while ensuring no GPU cycle ever goes to waste.”

Transforming Multi-Cluster GPU Operations

Modern AI operations often span thousands of GPUs distributed across regions and clouds. Exostellar AIM introduces a multi-cluster federation architecture that connects all environments under one software-defined orchestration layer, bringing unprecedented flexibility and scalability to GPU management.

Key capabilities include:

Unified Orchestration Across GPU Vendors: Manage NVIDIA, AMD, Qualcomm, Intel, and other accelerators from a single platform—eliminating vendor lock-in.

Multi-Cluster Federation: Centrally manage workloads across heterogeneous GPU clusters in on-premises and cloud environments, with cross-cluster scheduling, preemption, and quota sharing.

Hierarchical quota management: Enable fine-grained access controls and hierarchical resource sharing across teams or business units.

GPU Optimizer: Dynamically partition and resize GPUs beyond fixed MIG boundaries, achieving greater workload density with full isolation.

Kubernetes-Native Integration: Seamlessly integrates with Kubernetes orchestration frameworks, container runtimes, and device plugins — ensuring full compatibility with enterprise AI environments and modern DevOps workflows.

Real-Time Utilization & Observability: Provides continuous visibility into GPU allocation and performance, enabling reclamation of idle resources and workload rebalancing.

Intelligent Orchestration for AI/ML Workloads: Optimizes scheduling across training and inference.

Driving Freedom, Visibility, and Efficiency

Exostellar AIM was built to empower infrastructure and AI operations teams with:

Freedom from lock-in across GPU vendors and clouds.

Unified visibility across all clusters and tenants through one interface.

Dynamic optimization that balances workloads in real time.

Early adopters report deployment times under 30 minutes and significant improvements in both GPU utilization and developer productivity. AIM has been validated on the latest NVIDIA, A100, H100/H200, and AMD MI300/ 355 accelerators, confirming its leadership in heterogeneous GPU orchestration for next-generation AI workloads.

Availability

Exostellar AIM is available immediately for all enterprises worldwide to manage their heterogeneous pool of GPUs. The platform integrates natively with AWS EKS, Azure AKS, Google GKE, neoclouds, and on-premises Kubernetes environments. Exostellar will demonstrate multi-cluster GPU orchestration live at KubeCon + CloudNativeCon North America 2025, alongside ecosystem partners.

Don’t just take our word for it — try it yourself.

Organizations interested in experiencing AIM can sign up for a free trial and deploy the platform across their heterogeneous GPU environments within 30 minutes.

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

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Source: Exostellar