Welcome to the OpenMetal Private AI Labs Program
Build, Train, and Scale your AI workloads on Private Infrastructure—Now with up to $50K in Usage Credits
Accelerate Your AI Projects with Confidence
Everyone’s exploring how to best leverage AI for their business and their customers. With the new OpenMetal Private AI Labs program, you can access private GPU servers and clusters tailored for your AI projects. By joining, you’ll receive up to $50,000 in usage credits to test, build, and scale your AI workloads. Whether you’re fine-tuning LLMs, running ML pipelines, or training deep learning models—OpenMetal gives you full access to bare metal GPUs on secure, private infrastructure.
No slicing. No noisy neighbors. Just raw power and privacy to move faster.
Why Join Private AI Labs?
Up to $50K in Usage Credits: Offset your PoC and early scaling costs with generous monthly credits.
- Private, Bare Metal Access
No time slicing. Full control of your GPU with maximum performance and isolation. - Security & Compliance-Ready
Keep your data safe with private cloud infrastructure designed for regulated environments.
- Infrastructure Built for AI
NVIDIA RTX PRO 6000 Blackwell and H200 NVL, single- or dual-GPU configurations. Custom RAM and NVMe to fit your needs. - Optional Cluster Configurations
Need 4–8 GPUs? We’ve got you covered. Configure your own private AI lab.
The Labs Program is Currently Available In:
OpenMetal US East Coast Data Center (Washington D.C. Metro)
All GPU hardware is custom-built and delivered within 8–10 weeks after order placement. Clusters may take up to 12 weeks.
More locations coming soon!
Who Should Apply?
- AI/ML teams looking to escape the constraints of public cloud GPUs
- Enterprises building confidential or compliance-sensitive models
- Startups running PoCs or fine-tuning large language models
- Researchers seeking consistent, high-performance GPU access
Eligibility Criteria
- Must be a company or team actively developing or running AI/ML workloads.
- Use case requires GPU acceleration (training, inferencing, fine-tuning, etc.).
- Must sign a 2- or 3-year contract to receive credits.
- Willingness to provide feedback and participate in customer success stories.
- Can be a current customer but not currently using OpenMetal GPU infrastructure.
How the Program Works
OpenMetal GPU Servers and Clusters
The Private AI Labs Program was created to give easy and early access to enterprise servers by AI teams. When applying for the program, refer to the hardware list below to indicate the hardware of interest.
RP6000
2x Intel® Xeon® 6530P +
1 or 2x NVIDIA RTX PRO 6000
GPU Memory: 96 GB GDDR7 per GPU
GPU Memory Bandwidth: 1.6 TB/s per GPU
CUDA Cores: 24,064 per GPU
CPU Cores: 64 cores / 128 threads
RAM: 1 TB DDR5-6400
(expandable to 2 TB)
Storage: 1x 6.4TB included, up to 8 NVMe bays (Micron 7500 MAX)
Private Bandwidth: 20 Gbps standard, up to 40 Gbps
Public Bandwidth: 10 Gbps
H200
2x Intel® Xeon® 6530P +
1 or 2x NVIDIA H200 NVL (PCIe)
GPU Memory: 141 GB HBM3e per GPU
GPU Memory Bandwidth: 4.8 TB/s per GPU
CPU Cores: 64 cores / 128 threads
RAM: 1 TB DDR5-6400
(expandable to 2 TB)
Storage: 1x 6.4TB included, up to 8 NVMe bays (Micron 7500 MAX)
Private Bandwidth: 20 Gbps standard, up to 40 Gbps
Public Bandwidth: 10 Gbps
Contact OpenMetal for current configurations and pricing.
Still Have Questions?
Schedule a Consultation
Get a deeper assessment of your use case scenario and discuss your unique requirements for your AI workloads before applying for the program.