OpenMetal Unveils High-Performance Private GPU Servers and GPU Clusters for AI and ML Workloads

OpenMetal, Inc. announced the general availability of its Private GPU Servers and GPU Clusters, delivering production-ready infrastructure for AI, ML, and HPC workloads.

Engineered specifically for modern AI builders, the company’s GPU offerings feature fully dedicated NVIDIA GPUs, including the A100 and H100 models. The firm’s GPU infrastructure gives customers full root access to bare metal performance, supported by enterprise-grade networking and ultra-fast storage options. Customers can deploy GPU servers as standalone nodes or as part of larger clusters, integrated with OpenStack.

“Public cloud GPU access is riddled with limitations—premium pricing, throttled performance, and infrastructure you don’t truly control,” said Rafael Ramos, director, software engineering, OpenMetal. “We built our GPU Servers and Clusters to provide a different experience: complete control, transparent pricing, and no compromises on performance or privacy.“

Built for Builders and Innovators
Whether training large language models, deploying multi-node AI inference clusters, or running cutting-edge GenAI experiments, the company’s infrastructure is designed to support the most demanding workloads. The platform can support popular AI frameworks such as PyTorch, TensorFlow, JAX, and Hugging Face Transformers.

Key Features of OpenMetal GPU Infrastructure:

• NVIDIA GPUs: A100, H100 and more models for various performance and budget needs
• Dedicated Bare Metal: No virtualization layer; customers have full control of hardware
• Pricing Transparency: Monthly billing available with no hidden usage fees or out of control egress costs

Flexible Use Cases Across Industries
From startups training proprietary models to enterprises running inference at scale, the firm’s GPU offerings are built to accommodate a wide range of use cases. Healthcare, finance, and research sectors – where data locality, compliance, and infrastructure control are critical – are some industries that stand to benefit from OpenMetal’s private, high-performance environment.

Customers can customize clusters to match their needs, including GPU counts, CPU/GPU pairings, RAM configurations, and storage volumes. The infrastructure is designed to be API-driven, enabling integration into existing DevOps pipelines and MLOps platforms.

Availability:
GPU Servers and GPU Clusters are available in both U.S. East and West regions, with expansion planned to additional zones in Europe and Asia later this year.