Subscribe to Kernel of Truth on iTunes, Google Play, Spotify, Cast Box and Sticher!

Click here for our previous episode.

We’re back for a brand new season of the Kernel of Truth podcast. We’ve had some changes but you’ll hear some familiar voices. Roopa Prabhu is back, and Rama Darbha has joined her as a co-host. In this episode we have invited Nicolas Koumchatzky to talk about MLOps and how it intersects with NetDevOps. We cover how the industry is defining MLOps, then we compare and contrast MLOps to NetDevOps, finally finishing with how real world deployments are using both paradigms. Thanks for joining us in a new season and don’t forget to also check out the links below with resources referenced in the podcast.

Guest Bios

Nico Koumchatzky: Nico is the Sr Director of AI Infrastructure at NVIDIA, formally leading the Cortex (AI platform) team at Twitter. He and his team develop and operate the end-to-end cloud MLOps platform for autonomous vehicles (DriveAV). This includes CI/Build, the core compute and data platform as well as tools/SDK/UIs/services for data acquisition, ingestion, curation, labeling; model training, evaluation; AV system development and evaluation and debugging of the overall AV (AI based) system. You can find him on Twitter at @nkoumchatzky.

Roopa Prabhu: Roopa is a Linux Architect at NVIDIA, formally Cumulus Networks. She and her team work on all things kernel networking and Linux system infrastructure areas. Her primary focus areas in the Linux kernel are Linux bridge, Netlink, VxLAN, Lightweight tunnels. She is currently focused on building Linux kernel dataplane for E-VPN. She loves working with the Linux kernel networking and debian communities. Her past experience includes Linux clusters, ethernet drivers and Linux KVM virtualization platforms. She has a BS and MS in Computer Science. You can find her on Twitter at @__roopa.

Rama Darbha: Rama is the Director of Solutions Architecture at NVIDIA, formally Cumulus Networks. He and his team help drive adoption of modern networking solutions. Starting with architectures and protocols, then moving to application integrations and finishing with ecosystem integrations, Rama and his team of networking solutions architectures try to help customers solve the most complex of infrastructure problems. You can find him on Twitter at @Radar_Bot.

Show links

NVIDIA MLOps: https://blogs.nvidia.com/blog/2020/09/03/what-is-mlops/