OpenMetal, a leader in on-demand private cloud infrastructure, has unveiled its new Private GPU Servers and GPU Clusters designed to meet the growing demands of AI, machine learning (ML), and high-performance computing (HPC) applications. These new offerings deliver production-ready infrastructure with powerful NVIDIA GPUs, providing enterprises and AI innovators with a scalable, flexible solution to handle the most demanding workloads.
Features of OpenMetal GPU Infrastructure
- NVIDIA GPUs:
- The servers feature dedicated NVIDIA A100 and H100 GPUs, allowing customers to select GPUs based on their performance and budget needs.
- These powerful GPUs are tailored for AI training, ML inference, and HPC workloads.
- Dedicated Bare Metal Infrastructure:
- OpenMetal’s GPU infrastructure is designed for full root access, ensuring that customers experience bare metal performance without virtualization layers.
- This setup offers complete control over the hardware, enabling maximum performance for demanding applications.
- Pricing Transparency:
- OpenMetal offers clear and predictable pricing with monthly billing and no hidden fees, ensuring customers can budget effectively without worrying about unexpected usage or egress costs.
- Ultra-Fast Networking and Storage:
- The infrastructure is supported by enterprise-grade networking and ultra-fast storage, which is critical for high-performance AI and ML workloads that require low latency and high throughput.
Use Cases and Flexibility
- AI and ML Workloads:
- OpenMetal’s GPU servers are ideal for training large language models, deploying multi-node AI inference clusters, and conducting generative AI experiments.
- The platform supports popular AI frameworks such as PyTorch, TensorFlow, JAX, and Hugging Face Transformers.
- Industry Applications:
- OpenMetal’s GPU infrastructure is designed for diverse industries, including healthcare, finance, and research, where data locality, compliance, and control are critical.
- These sectors benefit from OpenMetal’s private, high-performance environment that provides security and flexibility for sensitive workloads.
- Customizable Clusters:
- Customers have the flexibility to tailor their GPU clusters, including adjusting GPU counts, CPU/GPU pairings, RAM configurations, and storage volumes based on their specific needs.
- The infrastructure is API-driven, enabling seamless integration with existing DevOps pipelines and MLOps platforms.
Benefits for Customers
- Full Control: Unlike public cloud GPU offerings, OpenMetal’s private cloud setup ensures customers have complete control over their hardware and infrastructure, providing greater flexibility and performance.
- No Performance Throttling: Customers experience uncompromised performance without the typical limitations of public cloud GPU solutions, such as throttling or premium pricing.
- Scalable Solutions: OpenMetal’s platform is designed to grow with your needs, allowing for easy scaling from startups to large enterprises running inference at scale.
OpenMetal’s new Private GPU Servers and GPU Clusters represent a significant advancement in cloud infrastructure, offering unmatched control, transparency, and performance for AI, ML, and HPC workloads. With customizable configurations and powerful NVIDIA GPUs, OpenMetal is positioned to support the most demanding and cutting-edge applications in AI and high-performance computing.
