![]() “Generative AI can power unprecedented transformation but places unprecedented demands on enterprise infrastructure,” said Yuanqing Yang, chairman and CEO of Lenovo. To enable customers to realize the full potential of generative AI, HPE is partnering with NVIDIA to build systems with the required power, efficiency and scalability to support these applications.” “These powerful new applications will require a fundamentally different architecture to support a variety of dynamic workloads. “Generative AI will undoubtedly drive innovation across multiple industries,” said Antonio Neri, president and CEO of HPE. ![]() “Through our collaboration, Dell Technologies and NVIDIA are providing customers with the infrastructure and software needed to quickly and securely extract intelligence from their data.” “Accelerated computing and networking are key to building systems to meet the demands of large language models and generative AI applications,” said Michael Dell, chairman and CEO of Dell Technologies. “Accelerated networking is the catalyst for a new wave of systems from NVIDIA’s leading server manufacturer partners to speed the shift to the era of generative AI.” “Generative AI and accelerated computing are driving a generational transition as enterprises upgrade their data centers to serve these workloads,” said Jensen Huang, founder and CEO of NVIDIA. ![]() The new systems coming from three of the top system makers bring together Spectrum-X with NVIDIA Tensor Core GPUs, NVIDIA AI Enterprise software and NVIDIA AI Workbench software to provide enterprises the building blocks to transform their businesses with generative AI. Purpose-built for generative AI, Spectrum-X offers enterprises a new class of Ethernet networking that can achieve 1.6x higher networking performance for AI communication versus traditional Ethernet offerings. ![]() NVIDIA today announced that Dell Technologies, Hewlett Packard Enterprise and Lenovo will be the first to integrate NVIDIA Spectrum-X™ Ethernet networking technologies for AI into their server lineups to help enterprise customers speed up generative AI workloads. ![]()
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