Tag: ai

Learn how media companies can deploy OpenAI Whisper on a private GPU cloud for large-scale, real-time transcription, automated multilingual subtitling, and searchable archives. Ensure full data sovereignty, predictable costs, and enterprise-grade security for all your content workflows.

Discover how IT teams can deploy BioGPT on OpenMetal’s dedicated NVIDIA GPU servers within a private OpenStack cloud. Learn strategic best practices for compliance-ready setups (HIPAA, GDPR), high-performance inference, cost transparency, and in-house model fine-tuning for biomedical research.

Many AI startups default to public cloud and face soaring costs, performance issues, and compliance risks. This article explores how private AI infrastructure delivers predictable pricing, dedicated resources, and better business outcomes—setting you up for success.

In a recent live webinar, OpenMetal’s Todd Robinson sat down with Emrul Islam from Kasm Technologies to explore how container-based Virtual Desktop Infrastructure (VDI) and infrastructure flexibility can empower teams tackling everything from machine learning research to high-security operations.

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.

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.