NVIDIA Offers Enterprise Reference Architectures to Support Growing Needs for AI Factories

NVIDIA is unveiling Enterprise Reference Architectures (Enterprise RAs) blueprints to help NVIDIA systems partners and joint customers build their own AI factories—high-performance, scalable and secure data centers for manufacturing intelligence.

According to the company, NVIDIA Enterprise RAs help organizations avoid pitfalls when designing AI factories by providing full-stack hardware and software recommendations, and detailed guidance on optimal server, cluster and network configurations for modern AI workloads.

Enterprise RAs can reduce the time and cost of deploying AI infrastructure solutions by providing a streamlined approach for building flexible and cost-effective accelerated infrastructure, while ensuring compatibility and interoperability, NVIDIA said.

Each Enterprise RA includes recommendations for:

• Accelerated infrastructure based on an optimized NVIDIA-Certified server configuration, featuring the latest NVIDIA GPUs, CPUs and networking technologies, that’s been tested and validated to deliver performance at scale.
• AI-optimized networking with the NVIDIA Spectrum-X AI Ethernet platform and NVIDIA BlueField-3 DPUs to deliver peak network performance, and guidance on optimal network configurations at multiple design points to address varying workload and scale requirements.
• The NVIDIA AI Enterprise software platform for production AI, which includes NVIDIA NeMo and NVIDIA NIM microservices for easily building and deploying AI applications, and NVIDIA Base Command Manager Essentials for infrastructure provisioning, workload management, and resource monitoring.

Businesses that deploy AI workloads on partner solutions based upon Enterprise RAs, which are informed by NVIDIA’s years of expertise in designing and building large-scale computing systems, will benefit from:

• Accelerated time to market: By using NVIDIA’s structured approach and recommended designs, enterprises can deploy AI solutions faster, reducing the time to achieve business value.
• Performance: Build upon tested and validated technologies with the confidence that AI workloads will run at peak performance.
• Scalability and manageability: Develop AI infrastructure while incorporating design best practices that enable flexibility and scale and help ensure optimal network performance.
• Security: Run workloads securely on AI infrastructure that’s engineered with zero trust in mind, supports confidential computing and is optimized for the latest cybersecurity AI innovations.
• Reduced complexity: Accelerate deployment timelines, while avoiding design and planning pitfalls, through optimal server, cluster and network configurations for AI workloads.

Solutions based upon NVIDIA Enterprise RAs are now available from NVIDIA’s global partners, including Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro.

For more information about this news, visit www.nvidia.com.