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.

View Servers & Pricing

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.

View Options

Schedule a Consultation

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

Schedule Meeting

Private AI Labs

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

Apply Now

Explore More OpenMetal GPU and AI Content

Yes, Llama 3.3 70B runs on a single OpenMetal H200 at FP8 with full 128K context. See the VRAM fit math, KV-cache budget, and vLLM setup.

Healthcare AI workloads carry the same HIPAA obligations as any system touching PHI. This article covers what the 2026 Security Rule update requires from AI infrastructure, why vector embeddings count as PHI, and how dedicated private cloud simplifies the compliance documentation burden.

Hyperscaler credits are worth taking, but the architecture built during the subsidized period determines your real cost when billing starts. This covers the credit lifecycle, which decisions create long-term cost exposure, and when private infrastructure makes sense for AI startups in production.

The H200 is a memory upgrade on the Hopper architecture, not a new compute platform. This article covers why bandwidth matters as much as VRAM capacity, where the 141GB floor changes what fits on a single GPU, and how the NVL PCIe variant differs from the SXM5 for dedicated private infrastructure.

Q: Can I build a mixed GPU cluster with RP6000 and H200 servers? Yes, OpenMetal builds mixed GPU clusters that combine RP6000 and H200 nodes on the same private network,

Learn how to enable Intel SGX and TDX on OpenMetal’s v4 and v5 servers. This guide covers required memory configurations (full channel allotment and 1TB RAM), hardware prerequisites, and a detailed cost comparison for provisioning SGX/TDX-ready infrastructure.