Design, deploy, and monitor networks for AI with Aviz

Thomas Scheibe, Chief Product Officer, offers solutions for designing, deploying, and monitoring networks for AI workloads. Their focus is on addressing the specialized networking needs of AI, including multiple networks, differentiated Quality of Service (QoS), and the integration of compute into the end-to-end network topology. They aim to provide automation and orchestration for faster deployment, service activation, and infrastructure expansion. Their product, ONCE, supports Sonic and Cumulus network operating systems, focusing on streamlining network management through design, modeling, deployment, and monitoring capabilities.

The Aviz presentation highlighted the evolution of networking in AI, emphasizing the shift from a single data center network to multiple networks, particularly the separation between front-end (user access) and back-end (GPU communication) networks. Aviz recognizes the importance of lossless behavior, different methods to address AI application requirements, and the integration of network settings on both the switches and the network interface cards (NICs). The company partners with hardware providers and uses reference architectures like NVIDIA Spectrum-X to automate network configuration. This allows enterprises to define networks and configure network separation.

Aviz offers comprehensive support for Sonic deployments in enterprise data centers and at the edge. They are automating deployment workflows for the NVIDIA Spectrum-X reference architecture, with the ability to configure multi-tenancy and extend the fabric. Aviz simplifies network management in AI, allowing users to deploy and manage their networks quickly and efficiently. They offer a comprehensive suite of solutions to design, deploy, and monitor networks for AI, focusing on automation and orchestration.