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.
Make Kueue the single admission controller for mixed Slurm, Ray, and Kubernetes workloads on one shared pool. Experimental, live-validated prototype. Apache-2.0.
Fused and block-float ML kernels for Tenstorrent Tensix cores in TT-Lang and TT-Metalium C++, measured on Tenstorrent's simulators, with CI on simulated chips, containers, a Kubernetes JobSet sweep and Ansible provisioning.
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