Build a Software-Defined Multi-Tenant NVLinked Cluster#

Adam Tetelman (NVIDIA), Alex Saroyan (Netris), Lukas Gentele (vCluster Labs) — Talk, Thursday, March 19

• Why: The one session in this set that stitches cloud-native tooling (Netris network automation, vCluster tenancy) onto an NVL GPU cluster — directly relevant to the PM's Kubernetes-networking and fabric-automation interests.
• What: A reference architecture for a single enterprise-grade, software-defined, multi-tenant NVL GPU cluster, examined across infrastructure, platform, and software layers, with a concrete example integrating Run:ai, Base Command Manager, vCluster, and Netris to handle production requirements: stricter security, operational rigor, and a broad user base. (from abstract only)
• How: Layered design: network automation (Netris), virtualization, orchestration platforms, plus the named-tool reference integration; abstract doesn't detail the per-layer mechanisms.
• Where applicable: Tied to specific vendor products (Run:ai, BCM, vCluster, Netris) on NVIDIA NVL hardware; the multi-tenant-GPU-cluster pattern itself is broadly applicable to R&D clusters going to production.