AI Experience Center

Bring Your AI Initiative to Life: Visualize. Validate. Realize.

The ePlus/Digital Realty AI Experience Center provides an advanced AI infrastructure environment that enables you to explore a variety of AI technologies. Delve into power, space, and infrastructure requirements with subject matter experts at your side to provide guidance around appropriate design and support.  Learn how to implement and optimize AI infrastructure via automated provisioning, intelligent monitoring, efficient GPU resource management, and full MLOps lifecycle automation.

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A Partnership to Power Your Innovation

Digital Realty and ePlus are partnering to help you build AI Infrastructure solutions to drive innovation for your organization. Learn more about our hands-on environment.

Explore Real-World AI Solutions:

• Experience AI infrastructure designs customized to AI/ML workloads.
• Interact with automated deployment, management, and monitoring demos.
• Experience how Run:ai and SLURM enable dynamic GPU allocation across teams and projects.
• Discover how MLOps can streamline teams and scale the ML lifecycle.
• Engage with AI experts to discuss real world use-cases and best practices.

Automated AI Infrastructure Provisioning:

• Full-stack Deployment: Demonstration across compute, storage, and networking
• Infrastructure as Code: Consistent, repeatable workflows for faster time-to-value
• Automation Tools: Scalable provisioning to reduce manual effort

Managing Your AI Infrastructure – Intelligent Automation:

• Daily Ops Automation: Patch management, upgrades, compliance checks
• Infrastructure Visualization: Real-time status, drift detection, remediation workflows
• Lifecycle Efficiency: Automated maintenance and lifecycle operations

GPU Resource Management Demo with Run:ai and SLURM:

• GPU Optimization: Dynamically schedule and isolate GPU workloads across teams and projects
• Intelligent Scheduling: Improve utilization and reduce idle time
• Interactive and batch workloads: Maximize throughput and flexibility

Monitoring Your AI Infrastructure:

• Real-Time Metrics: Monitor GPU, memory, and network stats via Grafana & Prometheus
• Alerting & Thresholds: Custom thresholds and proactive alerting
• Automated Ticketing: Seamless integration with ServiceNow, Jira
• Capacity Planning: Forecast trends to optimize resources

Experience the full ML lifecycle with Weights & Biases integration:

• Experiment Tracking: Log hyperparameters, metrics, system stats
• Artifact Management: Version datasets, models, and outputs
• Model Registry: Promote models across dev/staging/production
• Reporting & Collaboration: Auto-generated dashboards for audit trails and team sharing

• Dynamic GPU Management: Efficient GPU utilization with Run:ai and SLURM
• Orchestration: Centralized scheduling via NVIDIA Base Command Manager
• AI on Kubernetes: Scalable container-based AI infrastructure
• High-Performance Networking: Optimized Ethernet fabric for distributed workloads
• Scalable Storage: High-throughput systems designed for AI data pipelines
• Hybrid & Multi-Cloud Deployments: Manage AI workloads across edge, on-prem, and cloud

Why Choose the ePlus AI Experience Center?

Our AI Experience Center allows you to automate provisioning, manage, and monitor AI infrastructure with confidence. By leveraging automation, real-time insights, GPU resource management, MLOps lifecycle management, and expert support, we ensure your AI infrastructure is robust, scalable, and optimized for success. Visit us to explore how ePlus can accelerate your AI journey.