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The Cisco Nexus Hyperfabric offers a complete AI infrastructure solution that integrates networking, compute, GPUs, and storage, all managed through a cloud controller. It simplifies the AI lifecycle for IT and DevOps teams, making deployment and management straightforward. The system is designed for organizations looking to build private cloud AI capabilities.
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Cisco's Nexus Hyperfabric Full Stack AI Infrastructure offers a comprehensive on-premises AI solution managed through a cloud-hosted controller. It combines high-performance networking, computing, GPUs, storage, and AI software into a single, integrated platform. This setup allows IT, DevOps, and AIOps teams to manage the entire AI lifecycle—from design to deployment and monitoring—without needing deep expertise in networking. This approach aims to speed up deployment times and simplify management for organizations.
Key components include the Cisco Nexus Hyperfabric cloud-managed controller, Cisco 6000 Series Switches optimized for AI workloads, and an 800 GbE backend fabric for low-latency networking. The infrastructure is built on UCS C885A M8 Rack Servers equipped with NVIDIA Tensor Core GPUs, starting with the H200 model. The integration with the VAST Data Platform is optional, providing additional storage capabilities. Cisco emphasizes compliance with NVIDIA's Enterprise Reference Architecture (ERA), ensuring the solution meets industry standards for performance.
Cisco's AI PODs serve as modular deployment models designed to enhance flexibility and simplify AI infrastructure scaling. The entire system is cloud-managed, allowing for seamless operation across various data center sites, including primary locations and edge facilities. The design is intended to make operations more predictable and easier for IT teams, combining hardware and software into a cohesive package. With a focus on automation and support, Cisco aims to streamline the lifecycle of AI infrastructure in data centers, catering to organizations looking to build private cloud capabilities.
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