With the new OpenMetal Private AI Labs program, you can access private GPU servers and clusters tailored for your AI projects. By joining, you’ll receive up to $50,000 in usage credits to test, build, and scale your AI workloads.
Tag: private ai
Explore real-world solutions to AI deployment challenges—from managing secure, container-based environments to scaling GPU infrastructure efficiently. Learn how Kasm Workspaces and OpenMetal enable secure collaboration, cost control, and streamlined experimentation for AI teams.
This article highlights OpenMetal’s perspective on AI infrastructure, as shared by Todd Robinson at OpenInfra Days 2025. It explores how OpenInfra, particularly OpenStack, enables scalable, cost-efficient AI workloads while avoiding hyperscaler lock-in.
At OpenMetal, you can deploy AI models on your own infrastructure, balancing CPU vs. GPU inference for cost and performance, and maintaining full control over data privacy.