Make Kubernetes Networking Ready for World Class AI and HPC ...
summary
Kubernetes gets multi-NIC support via an operator that automates interface discovery, host route setup, IPAM and syncs state so pods get direct high-speed links without manual per-node fiddling. The project integrates with Multus and exposes Multi-NIC CNI definitions, minimizes API-server calls, and supports scaling to hundreds of nodes. Tested on an IBM Cloud GPU cluster of 1400+ GPUs with two 100G NICs, it halves latency and shows large-model runs with ~89% power-efficiency gains.
AI-written summary · about
chapters (12)
- 0:00Kubernetes networking intro
- 1:02Cloud elasticity for AI
- 3:05GPU communication challenges
- 4:52InfiniBand in Kubernetes
- 7:20Default network limits
- 8:24Direct pod-to-host networking
- 10:29Monix CNI operator
- 13:20Monix CNI setup steps
- 14:25Monix CNI components
- 17:59Monix CNI performance gains
- 18:41Monix CNI benefits
- 19:02Q&A on multi-IP discovery
related talks
35mPanel: Kubernetes Networking: Present and Future
26mEnhancing K8s Networking with SmartNICs
34mNetworking Optimizations for Multi-Node Deep Learning on Kubernetes
24mDressing-up Your Cluster for AI in Minutes with a Portable Network CR
38mKubernetes Networking Infrastructure Offload
32mScaling Kubernetes Clusters for Generative Models: Managing GPU Resources for AI App...
45mHow to Build a Kubernetes Networking Solution from Scratch
22mBeyond Single-Cluster Limits: Scaling GPU Workloads Across Kubernetes With…