Our Data Center Project Management Excels in Delivery
Philosophy:
Data center construction requires tight coordination between trades. USDCS acts as the owner’s representative, ensuring budget adherence, quality control, and vendor management.
Our Approach:
Pre-Construction Planning:
Vendor selection via RFP management.
Developing build timelines and procurement schedules.
MEP Coordination (Mechanical, Electrical, Plumbing):
Overseeing electrical and fiber buildout.
Coordinating HVAC and cooling system integration.
Commissioning & Testing:
Ensuring Tier certification readiness (Uptime Institute).
Load testing backup power, UPS, and network resilience.
Real-World Experience:
USDCS provided end-to-end project oversight for a 20MW modular data center deployment, handling vendor management, electrical system design, and commissioning.
What is an AI data center?
The AI data center is a facility that stores a network of computing systems and infrastructure that support the high-demanding needs of artificial intelligence (AI) and machine learning applications. Their goal is to streamline information collection and then process it to generate efficient responses to user prompts entered by them.
The data center for AI needs to have advanced hardware such as graphics processing units, field-programmable gate arrays, application-specific integrated circuits, and other equipment that optimize the processing and allow for complex computational tasks connected to AI operation.
What are AI data center solutions?
Solutions that enable AI-ready data centers encompass numerous technologies, services, and strategies that optimize the infrastructure of data centers. The goal is to support both AI and machine learning workloads effectively. AI data center design consists of hardware components in the form of AI-optimized servers and storage systems adapted to the specific operational conditions in which such systems work.
Additionally, AI-specific data centers require top-quality networking equipment and software solutions like AI frameworks, libraries, or even development tools that can ensure an efficient training, deployment, and then management of AI models.
How can our solutions help you develop your AI data center?
Our solutions, specifically designed to accommodate the needs of inference and training workloads, help address the challenges and requirements of developing, upgrading, and maintaining AI data centers. With our expertise and technology offerings, your business can benefit from optimized hardware and software configurations specifically tuned for AI workloads and their needs.
Our services also include webinars that can broaden your knowledge of AI data center solutions and show how to enhance your infrastructure and make it scalable, resilient, and energy efficient. Our expertise includes comprehensive support services, consultation, deployment, and ongoing AI data center infrastructure management.
