Introducing the Private AI Labs Program: Your Gateway to Building AI on Private Infrastructure
The AI boom has arrived—and with it, an explosion of demand for secure, high-performance compute infrastructure. But while the possibilities of AI are vast, the challenges of building, testing, and scaling real-world AI workloads are very real. That’s why we’re excited to introduce the Private AI Labs Program—a new initiative from OpenMetal designed to help AI builders access enterprise-grade GPU infrastructure on a platform that puts privacy, performance, and flexibility first.
Why We Created the Private AI Labs Program
AI innovation shouldn’t be limited by infrastructure roadblocks. Whether you’re developing LLMs, experimenting with inference at scale, or building AI into your products, you need reliable access to high-powered GPUs—without the public cloud noise, shared tenancy limitations, or unpredictable costs.
The Private AI Labs Program is built to give startups, researchers, and enterprise teams the resources they need to accelerate AI projects—without compromising privacy or performance.
What You Get
Approved participants in the program can receive up to $50,000 in usage credits to run their AI workloads on OpenMetal’s GPU Servers and Clusters. Our infrastructure includes top-tier purpose-built NVIDIA A100 and H100 GPUs, built for demanding compute tasks like training and inference on large-scale models.
You’ll also get:
- Private, dedicated GPU hardware – no noisy neighbors, no shared tenancy
- High-bandwidth, low-latency networking – ideal for data-intensive workloads
- Access to our team of infrastructure experts – to help you deploy, optimize, and scale
- A chance to be featured as a real-world success story on our platform and marketing channels
Whether you’re a startup validating a new idea or an enterprise exploring the shift from public to private infrastructure, we’re here to support your AI journey.
Apply Today
Program Info and Application Form
Who Should Apply?
The Private AI Labs Program is ideal for:
- AI/ML startups needing powerful, private infrastructure for development and testing
- Researchers running compute-heavy training workloads
- Enterprises evaluating infrastructure options for AI integration
- Teams looking to transition from unpredictable public cloud costs to fixed, reliable infrastructure
If your use case is innovative, impactful, and GPU-intensive, we’d love to hear from you.
Start building on infrastructure that respects your need for privacy, supports your performance goals, and grows with your ambition.
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Private AI Labs
$50k in credits to accelerate your AI project in a secure, private environment.