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Scalable AI-Ready Infrastructure for the Enterprise

The hybrid-cloud solution with out of the box AIOps, MLOps and DataOps

Hybrid & Multi Cloud​

Effortlessly integrate, unify, manage, and scale your AI fabric AI Infrastructure provides a hybrid-cloud, multi-cloud unified fabric for scalable and secure AI development. The AI ready infrastructure delivers best practices architecture to IT teams with container-based workflows, native Kubernetes and easily blends into existing IT ecosystems.

Maximize compute utilization with advanced resource management

  • Unify multiple servers, Kubernetes clusters, Spark clusters to a single AI Control Plane
  • Optimize GPUs in partnerships with NVIDIA, RedHat, Dell EMC, and NetApp
  • Monitor entire ML infrastructure for better resource management for IT teams
  • Manage Kubernetes for advanced job scheduling of ML jobs
  • Expand your compute resources with no need to vendor-lock

Scale machine learning with container-based workflows

  • Equip IT teams with a foundation for agile ML infrastructure out of the box
  • Support for Hybrid cloud/Multi-cloud resource management
  • Execute ML workloads more efficiently with containers and native Kubernetes – no dependencies required
  • Integrate easily with any existing data storage, compute and architecture solutions
  • Launch any NGC container to your pipeline in one click and automatically configure, schedule, install and run on any infrastructure

Improve productivity with one-click MLOps, AIOps and DataOps

  • Empower data science teams with self-service DevOps for the ML workflow
  • Reduce friction and align data science, IT and engineering teams 
  • Improve AI governance with advanced end-to-end tracking and monitoring capabilities 
  • Deploy models in one click to REST API, Batch or in real time with Kafka Streams

Unified AI ready Infrastructure AI OS is the best way to actualize the AI-driven enterprise at scale. is a unified control plane built to manage, control and visualize your entire AI infrastructure stack and data science workflow. With IT teams can orchestrate all AI jobs and data scientists to experiment and manage models in production at scale. Built on Kubernetes, is container based and integrates easily into existing IT and data science workflows.