dra

DRANET is a Kubernetes Network Driver that uses Dynamic Resource Allocation (DRA) to deliver high-performance networking for demanding applications in Kubernetes.

Easily manage virtual GPU resource pools in Kubernetes clusters.

FFmpeg Fork with full AVS Support (including AVS1-P2, AVS1-P16, AVS2, AVS3)

Model and monitor aquatic habitat connectivity in BC. Tools to plan and prioritize the assessment and remediation of barriers.

Seven hands-on labs for running AI workloads on Kubernetes: GPU scheduling, distributed training, model serving, and agents. Runs on a local kind cluster, no GPU required. Companion to a KubeCon EU 2026 talk.

Controller implementation and conformance test suite for Kubernetes Multi-Network (SIG Network).

API definitions, specifications, and Custom Resource Definitions (CRDs) for Kubernetes Multi-Network (SIG Network).

Simulate GPU clusters on Kubernetes. Test GPU-aware schedulers, autoscalers and platform tooling with zero GPU hardware.

Everything you need to know about DTMB (Digital Terrestrial Multimedia Broadcast)

🦄 Distributed Inference on Kubernetes with DRA and MIG