Exostellar Enables Unified AI Infrastructure and True Multi-Cluster Management.
Santa Clara, Calif— November, 17 — Exostellar, a leader in Heterogeneous AI infrastructure orchestration and optimization, today announced general availability (GA) of NVIDIA accelerated computing support within its AIM (AI Infrastructure Management) platform — delivering industry’s first unified control and optimization for multi-cluster AI infrastructure across on-premises, cloud, bare metal, and GPU-as-a-Service environments. AIM provides a single pane of glass to manage and optimize NVIDIA and other heterogeneous accelerators, giving enterprises full flexibility and efficiency in operating AI infrastructure at scale.
With this update, Exostellar AIM now provides end-to-end integration with NVIDIA GPUs, allowing customers to orchestrate workloads seamlessly across on-premises, cloud, and GPU-as-a-Service deployments — all through a single pane of glass.
Enhancing Multi-Cluster NVIDIA GPU Management
As AI workloads scale, organizations often operate thousands of NVIDIA GPUs across multiple Kubernetes clusters, cloud regions, and hybrid data centers. This creates silos, idle capacity, and operational complexity for both infrastructure and developer teams.
Exostellar AIM provides a centralized, Kubernetes-integrated control plane that orchestrates GPU scheduling, scaling, and resource sharing across heterogeneous environments. The result is improved utilization, reduced queue times, and higher overall throughput for AI workloads.
“Our mission is to make every GPU count,” said Tony Shakib, CEO of Exostellar. “With AIM, infrastructure teams are empowered to manage their entire environment effortlessly—turning 100 GPUs into the equivalent of 150–200 through smarter allocation and utilization. At the same time, developers gain faster, frictionless access to compute resources, accelerating both productivity and innovation.”
Key Capabilities for NVIDIA GPU Users
1. Unified Orchestration Across GPU Vendors: Manage NVIDIA and other accelerators from a single platform—eliminating vendor lock-in.
2. Multi-Cluster Federation: Centrally manage workloads across heterogeneous GPU clusters in on-premises and cloud environments, with cross-cluster scheduling, preemption, and quota sharing.
3. Hierarchical quota management: Enable fine-grained access controls and hierarchical resource sharing across teams or business units.
4. GPU Optimizer: Dynamically partition and resize GPUs beyond fixed MIG boundaries, achieving greater workload density with full isolation.
5. 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.
6. Real-Time Utilization & Observability: Provides continuous visibility into GPU allocation and performance, enabling reclamation of idle resources and workload rebalancing.
7. Intelligent Orchestration for AI/ML Workloads: Optimizes scheduling across training and inference.
Accelerating AI Development and Operations
By integrating with NVIDIA’s data center software stack, Exostellar AIM enables IT and MLOps teams to:
1. Run AI workloads up to 5× more efficiently through dynamic allocation and workload packing.
2. Give developers instant GPU access, reducing idle time and accelerating model training cycles.
3. Simplify operations for infrastructure admins, allowing centralized policy management and scaling across multiple environments.
Availability
The NVIDIA-optimized version of Exostellar AIM is available today, validated for NVIDIA A100, NVIDIA H100, and NVIDIA H200 GPUs, with upcoming support for NVIDIA Grace Hopper and NVIDIA Blackwell architectures. AIM integrates natively with AWS EKS, Azure AKS, Google GKE, and on-premises Kubernetes environments.
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 NVIDIA GPU environments within minutes.
For details or to start a trial, visit exostellar.ai/aim-free-trial.
