Nvidia AI Enterprise
Core to the company’s enterprise AI strategy, Nvidia AI Enterprise is a suite of software that allows organizations to run GPU-accelerated applications in traditional data center infrastructure with VMware’s vSphere virtualization platform. Servers in the Nvidia-Certified Systems program are all certified to run and deliver optimized performance for Nvidia AI Enterprise.
Nvidia AI Enterprise is not available on any virtualization platform other than vSphere, and it lets organizations move AI applications from bare-metal servers to virtual machines and containers with very little performance impact, according to Nvidia. The suite comes with a multitude of enterprise-grade AI tools and frameworks, including Nvidia Triton Inference Server and Nvidia TensorRT. It also includes AI offerings for a broad range of industries, from manufacturing to financial services.
Justin Boitano, vice president and general manager of enterprise and edge computing at Nvidia, has previously said that Nvidia AI Enterprise can significantly reduce the amount of work required for companies to deploy AI applications into production environments. For instance, Nvidia’s Transfer Learning Toolkit, which is available in the suite, can reduce the amount of time it takes for a company to build an AI model from 80 weeks to eight weeks.
Subscription licenses for Nvidia AI Enterprise, which launched this year, start at $2,000 per CPU socket annually, and the subscription includes standard business support five days a week. It’s also available as a perpetual license at $3,595 per CPU socket annually, and enterprise business standard support for the software suite costs $899 per license annually.