Powered by SaaS Industry
At a Glance
To bring more accessible AI to organizations running their applications on ‘industry-standard enterprise data center infrastructure,’ Nvidia has launched a new set of Nvidia-Certified systems along with two AI server Graphics Processing Units. (GPUs).
Reports state that this Enterprise software suite is integrated with VMware’s latest vSphere7 update two virtualization platforms to enable easier access for enterprises to virtualize ‘their expanding AI workloads.’ The two GPU’s are NVIDIA A30 for mainstream AI and data analytics, NVIDIA A10 for AI-enabled graphics, virtual workstations, and mixed compute workloads.
To meet the need for a scalable computing platform to deliver cutting-edge products and services without compromising on operational efficiency, NVIDIA-Certified Systems are configured to deliver exceptional performance for a variety of workloads. They effectively assist enterprises in deploying hardware solutions.
Commenting on the launch, Manuvir Das, head of Enterprise Computing at NVIDIA, pointed out that AI’s intrusion into the mainstream domain and use was the driving force behind the accelerating demand for infrastructure and software businesses. He said,
“With NVIDIA AI Enterprise and VMware vSphere 7 on NVIDIA-Certified Systems, customers can now run virtualized AI applications on industry-standard servers — enabling hundreds of thousands of companies to host new AI services on their VMware platforms.”
Krish Prasad, senior vice president, GM of the Cloud Platform Business Unit, VMware, opined on the launch. Stating that the customer need nowadays was about running AI applications on their enterprise infrastructure for “manageability, scalability, security, and governance,” he added.
“VMware and NVIDIA have teamed up so that customers can now evolve their existing enterprise infrastructure with an end-to-end AI-Ready Enterprise platform that’s easy to deploy and operate,”
Many industry innovators are using and deploying NVIDIA-Certified Systems to power virtualized AI and data science.
Steven Walker, chief technology officer, Lockheed Martin, states that NVIDIA’s accelerated computing platform gave them the flexibility to support a wide range of mission-critical applications.
Tom Schultz, director of Information Systems, Enterprise Medical Imaging, Mass General Brigham, feels that such virtualization has enabled healthcare systems to deliver services to clinicians and patients.
“It has the potential to significantly increase the adoption of GPU-based AI applications. This allows for better utilization of technology infrastructure and minimizes the need for dedicated GPU systems for each project, which means AI can be applied more broadly to improve patient services,” he added.