Eagle Mountain Data Inc: Eagle Mountain Data Lake Forest

Eagle Mountain Data Lake Forest is a high-density AI-focused data center operated by Eagle Mountain Data Inc. in Lake Forest, California, United States, within the Southern California / Los Angeles metro region. Eagle Mountain Data identifies the facility as a 20 MW AI-Factory designed for large-scale GPU deployments, AI training, inference, and HPC workloads.

The Lake Forest site is positioned in Orange County, close to major Southern California enterprise, technology, cloud, media, and end-user demand centers. Eagle Mountain Data states that the facility supports low-latency connectivity within the Los Angeles metro region and enables customers to deploy multi-megawatt GPU clusters with access to carrier-neutral connectivity and private cloud interconnection.

⚙️ Facility Highlights

1. High-density AI-focused data center
2. 20 MW AI-Factory
3. Designed for large-scale GPU deployments
4. Supports AI training, inference, and HPC workloads
5. High-density infrastructure supporting GB300 Blackwell GPU clusters
6. Scalable power capacity with 20 MW expansion underway
7. Supports multi-megawatt GPU cluster deployments
8. Private cloud connectivity available
9. Part of Eagle Mountain Data’s Southern California AI infrastructure footprint

🔐 Security & Compliance

1. Purpose-built environment for AI and GPU compute infrastructure
2. Customer deployments supported through GPU compute and private-cloud connectivity models
3. Secure customer deployment controls should be validated during procurement
4. Fire detection, suppression, access control, and compliance controls should be confirmed during technical diligence

🌐 Connectivity & Carrier Access

1. Carrier-neutral ecosystem
2. Multiple Tier 1 network providers
3. Direct connectivity to AWS Direct Connect
4. Direct connectivity to Microsoft Azure ExpressRoute
5. Interconnection to partners, networks, and cloud providers
6. Low-latency connectivity within the Los Angeles metro region
7. Suitable for AI infrastructure, GPU compute, HPC, cloud-adjacent workloads, and managed high-density deployments

💼 Who It Serves

1. AI infrastructure operators
2. GPU cloud and managed compute providers
3. Enterprises deploying AI training or inference workloads
4. Cloud, SaaS, and managed-service providers
5. Organizations requiring high-density GPU capacity
6. Companies deploying multi-megawatt AI or HPC clusters