Cisco Reveals Nexus HyperFabric AI Clusters, A New Simplified Data Center Infrastructure Solution with NVIDIA for Generative AI
This press announcement focuses on the Cisco and NVIDIA innovation to simplify the deployment of generative AI applications, providing IT visibility and analytics across the entire AI infrastructure stack.
What is the Cisco Nexus HyperFabric AI Cluster?
The Cisco Nexus HyperFabric AI Cluster is a new infrastructure solution developed in collaboration with NVIDIA, designed to simplify the deployment of generative AI applications. It enables enterprise customers to build and manage infrastructure for running AI models without requiring extensive IT knowledge. The solution offers cloud management capabilities, allowing for easy deployment and monitoring across data centers, colocation facilities, and edge sites.
How does the solution support AI workloads?
The Cisco Nexus HyperFabric AI Cluster supports AI workloads by combining Cisco's AI-native networking with NVIDIA's accelerated computing and AI software. This integration allows for automated, cloud-managed operations across a unified compute and networking fabric. It also includes features like high-performance Ethernet fabric, NVIDIA Tensor Core GPUs, and a robust data storage platform, all aimed at facilitating the efficient handling of generative AI tasks.
What are the expected outcomes for IT leaders?
IT leaders can expect to enhance their operational efficiency and gain better visibility into their network infrastructure. According to Cisco's Global Networking Trends Report, 60% of IT professionals anticipate deploying AI-enabled predictive network automation within the next two years. The Nexus HyperFabric AI Cluster aims to alleviate economic and operational challenges associated with AI deployment, allowing organizations to focus more on innovation and less on IT management.
Cisco Reveals Nexus HyperFabric AI Clusters, A New Simplified Data Center Infrastructure Solution with NVIDIA for Generative AI
published by Silicon Network
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