As the landscape of global computing shifts from general-purpose to accelerated computing, the need for scalable data center infrastructure becomes crucial. This transition, occurring in 2023, emphasizes the importance of designing and deploying infrastructure capable of supporting the burgeoning demands of AI workloads. Enterprises, confronted with new model capabilities and evolving software frameworks, face a challenge as they establish enduring strategies for investment in AI infrastructure.

NVIDIA’s Latest Solution The technology giant NVIDIA has unveiled its Enterprise Reference Architectures (Enterprise RAs), comprehensive blueprints intended to aid their partners and customers in building AI factories—data centers adept in manufacturing intelligence with high performance, scalability, and security.

Comprehensive Enterprise RAs Enterprise RAs guide organizations through the intricacies of designing AI factories by providing full-stack hardware and software recommendations. These designs detail optimal server, cluster, and network configurations tailored for contemporary AI workloads, aimed at reducing the time and cost involved in deploying AI infrastructure solutions.

Each blueprint includes:

• Accelerated Infrastructure: Recommended NVIDIA-Certified server configurations featuring the latest GPUs, CPUs, and networking technologies, tested and validated for scalable performance.
• AI-Optimized Networking: The NVIDIA Spectrum-X AI Ethernet platform and NVIDIA BlueField-3 DPUs are included to ensure peak network performance, providing guidance on optimal configurations.
• Software Suite: The NVIDIA AI Enterprise software platform, featuring solutions like NVIDIA NeMo and NVIDIA NIM microservices, for streamlined AI application development and deployment.

Benefits for Enterprises NVIDIA’s Enterprise RAs, backed by years of experience in creating large-scale computing systems, offer several advantages for businesses:

• Faster Time to Market: Streamlined deployment of AI solutions accelerates the realization of business value.
• Peak Performance: Ensure top-level performance using tested technologies suited for AI workloads.
• Scalability and Manageability: Develop flexible AI infrastructure designed to scale with ease.
• Enhanced Security: Architected for secure workload execution, these infrastructures support the latest advancements in AI cybersecurity.
• Reduced Complexity: Aid in avoiding design missteps by following structured server, cluster, and network configurations.

Availability and Partnerships Solutions based on these enterprise architectures are available via NVIDIA's global partners, including Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro. By teaming with these partners, NVIDIA ensures comprehensive and widely accessible support for businesses aiming to embrace the future of AI-enhanced infrastructure.

For more detailed information, please visit NVIDIA’s dedicated pages on their certified systems and Enterprise Reference Architectures.

This development was initially covered on the NVIDIA Blog.