Launch of Private GPU Servers & Clusters

We’re thrilled to announce the launch of Private GPU servers and GPU clusters on OpenMetal, purpose-built to support not only AI and machine learning workloads—but also a wide range of high-performance computing needs.

Whether you’re building models, running simulations, crunching big data, or working on video rendering, our enterprise-grade NVIDIA A100 and H100 GPUs are now available on fully dedicated, private infrastructure that delivers performance without compromise.

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Why Choose OpenMetal for Your GPU Infrastructure?

Private, Secure & Fully Yours

Unlike shared GPU offerings in the public cloud, OpenMetal gives you dedicated bare metal access to GPUs—meaning your resources are never throttled, shared, or exposed to noisy neighbors. You get full control over performance, data security, and compliance—critical for businesses handling sensitive or proprietary data.

Tailored to Your Workloads

Our infrastructure is fully customizable—from single GPU servers to large-scale clusters—so we can build them to meet your specific needs. GPU-powered use cases go far beyond AI/ML. The servers in our catalog can support:

  • Computational research
  • Financial modeling
  • Media rendering
  • Simulation & scientific workloads
  • Private inference endpoints
  • And much more.

Supported by Experts from Day One

At OpenMetal, you’re never on your own. Our team is with you from day one—consulting with you on the right architecture, supporting your deployment, and helping you optimize for success. We’re not just a provider—we’re your partner in performance.

Interested in GPU Servers and Clusters?

GPU Server Pricing

High-performance GPU hardware with detailed specs and transparent pricing.

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Schedule a Consultation

Let’s discuss your GPU or AI needs and tailor a solution that fits your goals.

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Private AI Labs

$50k in credits to accelerate your AI project in a secure, private environment.

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Explore More OpenMetal GPU and AI Content

Tired of slow model training and unpredictable cloud costs? Learn how to build a powerful, cost-effective MLOps platform from scratch with OpenMetal’s hosted private and bare metal cloud solutions. This comprehensive guide provides the blueprint for taking control of your entire machine learning lifecycle.

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.

Explore how MicroVMs deliver fast, secure, and resource-efficient horizontal scaling for modern workloads like serverless platforms, high-concurrency APIs, and AI inference. Discover how OpenMetal’s high-performance private cloud and bare metal infrastructure supports scalable MicroVM deployments.

Learn how to enable Intel SGX and TDX on OpenMetal’s Medium, Large, XL, and XXL v4 servers. This guide covers required memory configurations (8 DIMMs per CPU and 1TB RAM), hardware prerequisites, and a detailed cost comparison for provisioning SGX/TDX-ready infrastructure.

A quick list of some of the most popular Hugging Face models / domain types that could benefit from being hosted on private AI infrastructure.