News Summary:

  • The new solution will combine Cisco and NVIDIA innovation to simplify the deployment of generative AI applications, providing IT visibility and analytics across the entire AI infrastructure stack.
  • Cisco Nexus HyperFabric AI clusters make it easy for enterprise customers to build infrastructure to run generative AI models and inference applications without deep IT knowledge and skills.
  • Exclusive cloud management capabilities help customers easily deploy, manage and monitor data centers, colocation facilities and edge sites.

CISCO LIVE, LAS VEGAS, June 4, 2024 — Today Cisco (NASDAQ: CSCO), the leader in security and networking, announced a breakthrough AI cluster solution with NVIDIA for the data center that transforms how customers build, manage and optimize infrastructure and software.

Delivering on the Cisco Networking Cloud vision to simplify networking, Cisco is bringing to market a new enterprise-ready, end-to-end infrastructure solution to scale generative AI workloads. The Cisco Nexus HyperFabric AI cluster solution combines Cisco AI-native networking with NVIDIA accelerated computing and AI software, and a robust VAST data store. It is designed to enable customers to focus on AI-driven innovation and new revenue opportunities rather than IT management.

According to Cisco's recent Global Networking Trends Report in the next two years, 60% of IT leaders and professionals expect to deploy AI-enabled predictive network automation across all domains to better manage NetOps. ​Additionally, 75% plan to deploy tools that offer end-to-end visibility via a single console into different network domains including campus and branch, WAN, data center, internet, public clouds and industrial networks.

"Ethernet has the broadest scale in our client base, and the Cisco NVIDIA partnership and resulting offers will accelerate our ability to deliver AI solutions to our clients. Both Cisco and NVIDIA are already a significant part of WWT's AI Proving Ground lab where we help clients select and operationalize AI architectures so they can more quickly turn their data into insights and action."

 - Neil Anderson, VP Cloud, Infrastructure, and AI Solutions, WWT



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