To advance the efficiency and flexibility of AI computing resources, NVIDIA has announced its acquisition of Run:ai, a leading provider of Kubernetes-based workload management and orchestration software. The $700 million deal underscores NVIDIA’s commitment to expanding its AI software capabilities to complement its hardware dominance.
Simplifying Complex AI Deployments
As AI applications grow increasingly complex, spanning cloud, edge, and on-premises infrastructure, managing workloads like generative AI, recommender systems, and large-scale search engines demands sophisticated orchestration.
Run:ai’s platform simplifies this process, enabling enterprises to optimize compute resources across hybrid environments.
Built on Kubernetes, the orchestration layer for modern cloud infrastructure, Run:ai’s open platform supports a variety of Kubernetes variants and integrates seamlessly with third-party AI tools. This makes it a versatile solution for organizations managing data-center-scale GPU clusters.
Empowering Enterprises with Advanced Tools
Run:ai’s capabilities include:
- Centralized management of shared compute resources, streamlining access for AI workloads.
- User and team management with control over quotas, priorities, and monitoring of GPU usage.
- GPU pooling to allocate computing power efficiently, from fractional GPUs to multi-node clusters.
- Enhanced GPU cluster utilization, allowing organizations to maximize their investments.
A Strategic Collaboration
“Run:ai has been a close collaborator with NVIDIA since 2020, and we share a passion for helping our customers make the most of their infrastructure,” said Omri Geller, Run:ai’s cofounder and CEO. “We’re thrilled to join NVIDIA and continue our journey together.”
Integration with NVIDIA’s Ecosystem
NVIDIA plans to maintain Run:ai’s existing business model while investing in its product roadmap. The platform will integrate with NVIDIA DGX Cloud, a full-stack AI solution designed for enterprise developers.
Run:ai’s tools are already compatible with NVIDIA’s suite of offerings, including DGX SuperPOD, Base Command, NGC containers, and NVIDIA AI Enterprise.
By combining Run:ai’s orchestration capabilities with NVIDIA’s accelerated computing platform, customers will gain access to a unified fabric for GPU solutions.
This collaboration is expected to deliver improved GPU utilization, greater infrastructure management capabilities, and enhanced flexibility through an open architecture.
With this acquisition, NVIDIA further solidifies its leadership in the AI ecosystem while providing enterprises with powerful tools to navigate the future of AI-driven innovation.
