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Higher Education

Numerous universities and research institutions around the world operate high-performance computing (HPC) clusters to support academic research. These environments are increasingly evolving into AI infrastructure platforms, requiring large-scale GPU deployments.

These GPUs are typically shared among multiple research groups, departments, and sometimes external collaborators such as government research organizations.

Problem​

Higher education institutions face several challenges when managing GPU infrastructure.

  1. High capital cost: GPU clusters represent significant financial investments and must be fully utilized to justify the cost.
  2. Strict multi-tenancy requirements: Research grants and collaborations often require strong resource isolation between projects and research teams.
  3. Ease of use: Researchers and students prefer to focus on scientific work rather than managing infrastructure.

Solution​

Armada Bridge is a GPU management platform that enables higher educational institutions to deliver GPU infrastructure as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and AI-as-a-Service (AIaaS) to internal users. Bridge provides secure multi-tenancy, lifecycle management, and operational automation across GPU clusters, allowing organizations to safely share expensive GPU infrastructure among multiple tenants while maximizing utilization and simplifying operations.

Bridge enables universities to operate GPU infrastructure as a secure multi-tenant research platform. Bridge provides resource isolation across CPU, GPU, networking, storage, Infiniband, NVLink, and WAN access, allowing multiple research groups to safely share infrastructure.

GPU resources can be allocated either:

  • Statically to research groups
  • Dynamically through on-demand allocation from 1/7 of a GPU to 100s of clustered GPUs to maximize utilization

Bridge also enables universities to provide fully managed research environments, including:

  • Managed Kubernetes clusters
  • Jupyter notebooks
  • AI frameworks and MLOps platforms
  • Model training environments
  • Workflow schedulers such as SLURM

Operational automation allows administrators to manage large clusters efficiently while researchers focus on their work.

For institutions that do not have a brick-and-mortar datacenter available, Armada can also provide Modular Data Centers branded Armada Galleon.

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