OpenMetal Launches Private GPU Servers for AI and ML

OpenMetal has announced the availability of its new Private GPU Servers and GPU Clusters, designed for AI and ML workloads, featuring NVIDIA GPUs and transparent pricing.

OpenMetal has announced the general availability of its new Private GPU Servers and GPU Clusters, designed to support AI, machine learning, and high-performance computing workloads. In a press release, the company detailed that these offerings feature fully dedicated NVIDIA GPUs, including the A100 and H100 models, providing customers with full root access to bare metal performance.

The new infrastructure allows for deployment as standalone nodes or as part of larger clusters integrated with OpenStack. OpenMetal emphasizes complete control, transparent pricing, and uncompromised performance, addressing common limitations found in public cloud GPU access.

These GPU servers are engineered to support popular AI frameworks such as PyTorch, TensorFlow, JAX, and Hugging Face Transformers. They are available in the U.S. East and West regions, with plans for expansion to Europe and Asia later this year.

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