NVIDIA AI Enterprise Certified Systems

Posted on 24 August, 2021

Today NVIDIA announced AI Enterprise, which is a software that brings the NVIDIA full software stack to the VMware platform in enterprise-grade supported solutions. AI Enterprise is here to make AI scalable and manageable, with full-stack enterprise support.

The Challenge

AI is Transforming Enterprise Computing

Enterprises today are adopting artificial intelligence (AI) to deliver cutting-edge products, increase operational efficiencies, and gain a competitive advantage. However, with constantly changing software, developing and deploying AI at-scale is difficult, and requires a different approach to computing infrastructure - one that is only available through a small set of AI pioneers. To be successful, enterprises need a modern, cohesive computing infrastructure - from the data center to the edge - that provides the functionality, performance, security, and scalability to run all AI workloads.

NVIDIA-Certified Systems, consisting of EGX and HGX platforms, enable enterprises to confidently choose performance-optimized hardware and software solutions that securely and optimally run their AI workloads - both in smaller configurations and at-scale - all backed by enterprise-grade support. A certified system is a pre-requisite for AI Enterprise and they are here to make it easy to select the proper hardware for performance and compatibility, while maintaining a standard form factor.

The Enterprise Needs an Accelerated Hybrid Modern Cloud

At the same time, AI itself is changing rapidly, driven primarily by:

An explosion of data generated by users, applications, and devices (Walmart processes 2.5 petabytes of data every hour).

An increase in the complexity and size of the AI models required to build state-of-the-art AI applications (3000X increase in computing resources from computer vision ResNet, five years ago, to conversational AI Megatron-BERT, today).

The growing diversity of AI workloads from data analytics to training to inference, and across models that differ widely in characteristics from RNN, CNN, MLP to RL etc., with demands for each changing throughout the day.

Network traffic within the data center is also rising exponentially, which greatly affects data center infrastructure design. Secure, reliable, and high-speed networking is essential for moving the large amounts of data needed to accelerate AI and data analytics, and coordinate between distributed computing elements. For mission-critical deployments, enterprises need to secure the data center network to protect valuable intellectual property and sensitive customer data.

For more information, visit our landing page or download the NVIDIA Certified Systems datasheet here.

Tags: nvidia, certified, ai, solutions

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