Building High-Performance AI Fabrics with NVIDIA Spectrum-X



Your AI network design needs more than just GPUs. Did you know that the Day 0 design decisions, topology, IP addressing, BGP, QoS, server connectivity, and more can have a dramatic impact on the performance of your network Fabric in production?

Designing and deploying high-performance AI networking at scale using, for example, NVIDIA Spectrum-X is challenging.

You can simplify Day 0 design and deployment with Aviz ONES Fabric Designer. Instead of hand-configure complex IPCLOS Fabrics and dealing with hundreds or even thousands of parameters, the ONES Fabric Designer lets teams input data at a high level – specifying the Scalable Unit (SU) size, the desired number of GPUs, and the IP address pool. The system then generates a tested and validated network Fabric design including spine and leaf configuration, BGP peering, interface settings, and IP assignments. Furthermore, the solution also fully automates the setup and configuration of NVIDIA BlueField and ConnectX SuperNICs including all RoCEv2- related parameters such as PFC and ECN settings.

Validation of the design is facilitated virtually using NVIDIA AIR prior to deploying network Fabric and servers to physical hardware with NVIDIA Zero Touch Provisioning (ZTP).

Your AI network teams can experience a streamlined Day 0 workflow with significantly reduced manual effort and a lower risk of deployment issues, allowing them to focus on building a performant AI infrastructure. With AI cluster sizes increasing, intent-driven automation in network design can make an even bigger impact.

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