Insatiable Demands for AI in a New Era
The insatiable demand for ever-more-powerful computing, infrastructure and connected devices is driving an equally insatiable demand for AI-era data centers and the products that comprise them. Technology companies designing infrastructure and solutions for AI and high-performance computing (HPC) environments find themselves in an enviable position, but meeting the moment isn’t about innovation alone.
Four Key Considerations for Developing AI-Powered Solutions
To ensure your AI infrastructure solution can operate efficiently in diverse environments, it's crucial to account for these four areas:
- Multi-vendor solution expertise: Understanding interactions within a multi-component, multi-vendor AI infrastructure is essential
- Design, validation, and maintenance for AI workloads: Solutions must be validated in real-world conditions to ensure they meet performance requirements
- Integration and deployment at scale: Server racks should arrive fully integrated, tested and ready to deploy
- Inventory management and repair expertise: Quick repair or replacement is critical to minimize costly data center downtime
How to Get Started With Full Product Lifecycle Orchestration
For technology companies serving AI-era data centers, orchestrating the entire product lifecycle means taking end-to-end responsibility for product design, deployment, maintenance, repair and decommissioning — but it doesn’t mean doing it alone.
From multi-vendor solution design and integration to global lifecycle orchestration, the right partner can help technology companies close the AI readiness gap and turn innovation into functioning, future-proof deployments.
Download the eBook for a deep dive into the four key considerations for developing AI-powered solutions as well as nine questions you should ask when evaluating an outsourced services partner to support your AI-era go-to-market strategies and deployments.
