NVIDIA AI Enterprise is the name of NVIDIA’s suite of AI tools and frameworks that are now available to companies that want to use them. The company is offering companies running VMware vSphere the ability to virtualise AI workloads on NVIDIA-certified systems. Among the well-known manufacturers worldwide are Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro using these certified systems.

A Software Suite Specialising in AI Workload Virtualisation on Certified Systems

According to NVIDIA, many organisations in the automotive, education, finance, healthcare, manufacturing and technology industries can leverage NVIDIA AI Enterprise, a software suite of tools and frameworks that enables organisations using VMware vSphere to virtualise AI workloads on NVIDIA-certified systems using the same tools they use to manage large-scale data centres and hybrid clouds.

With this new portfolio of solutions, companies will be able to develop a wide range of applications using servers that are already widely used around the world to deploy and scale data science, conversational AI, computer visualization, recommendation systems, and more. Krish Prasad, senior vice president and general manager of the Cloud Platform Business Unit at VMware, explains how his solution coupled with NVIDIA’s new software suite can help drive efficiency:

“As AI applications become business critical, our customers want to run them on their own infrastructure for reasons of management simplification, scalability, security and governance. Running NVIDIA AI Enterprise on VMware vSphere provides a certified, end-to-end AI-ready enterprise platform that is easy to deploy and operate.”

Numerous use cases for the NVIDIA AI Enterprise suite

Numerous use cases for the software suite currently exist:

• To help data science teams run their AI processing workflows as efficiently as possible, Domino Data Lab today announced that its Domino Enterprise MLOps platform already running on leading NVIDIA-certified systems is also validated for NVIDIA AI Enterprise.
• Cerence Inc, a leading provider of conversational AI for the automotive and mobility markets, is leveraging NVIDIA AI Enterprise to develop intelligent assistants and digital co-pilots in cars.
• NVIDIA-certified systems from Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo, and Supermicro for NVIDIA AI Enterprise are powered by a wide range of NVIDIA GPUs, including the A100, A30, A40, A10, and T4. All of which are powered by the NVIDIA AI Enterprise suite.
• The University of Pisa supports high performance computing (HPC) and AI training in several disciplines to advance scientific studies with NVIDIA software.

Maurizio Davini, chief technology officer at the University of Pisa explains how NVIDIA AI Enterprise has been used in the university’s support program:

“NVIDIA AI Enterprise has allowed us to expand our support program with our researchers and students using data analytics and deep learning, while making these applications easier to deploy and manage. Our testing has shown that these latest collaborations between NVIDIA and VMware bring the full potential of our GPU-accelerated virtualized infrastructure to speeds approaching those achieved via bare-metal servers.”

To conclude, Manuvir Das, head of Enterprise Computing at NVIDIA provides more details on the software suite:

“The first wave of AI was powered by specialized infrastructure, which limited the use of industry pioneers. Today marks the beginning of a new chapter in the AI era, as NVIDIA’s software brings the transformative power of artificial intelligence within reach of all enterprises that run their workloads on VMware using traditional data center servers.”

Translated from NVIDIA souhaite rendre l’IA accessible grâce à sa suite logicielle NVIDIA AI Entreprise