Gpu on Cozystack

Cozystack Passes CNCF Kubernetes AI Conformance

Tue, 15 Sep 2026 00:00:00 +0000

Cozystack meets all twelve requirements of the CNCF Kubernetes AI Conformance programme. The v1.35 self-assessment, filed by Ænix for Cozystack v1.6.1, is accepted and published in the CNCF repository at v1.35/cozystack.

Base Kubernetes conformance answers “is this real Kubernetes”. AI conformance answers a more practical question: will an AI workload that runs on one conformant platform run here too, without platform-specific workarounds.

Cozystack Now Offers GPU Passthrough for AI/ML Virtual Machines

Fri, 18 Apr 2025 00:00:00 +0000

Cozystack Now Offers GPU Passthrough for AI/ML Virtual Machines

The open-source cloud platform has introduced direct GPU passthrough in its latest release, enabling users to accelerate AI, machine learning, and other compute-intensive workloads on virtual machines. By leveraging physical GPUs from host nodes, teams can now deploy open-source AI stacks without proprietary cloud dependencies.

Upcoming features include vGPU resource partitioning and a Kubernetes-native GPU operator for multi-tenant clusters.

Read the documentation →

Cozystack v0.30: GPU Passthrough, WorkloadMonitor for PVCs and IPs, CPUManager, and Automated Testing in CI

Thu, 10 Apr 2025 00:00:00 +0000

Cozystack v0.30: GPU Passthrough, WorkloadMonitor for PVCs and IPs, CPUManager, and Automated Testing in CI

Version 0.30 brings GPU capabilities to the platform and improves resource tracking and testing infrastructure.

Major Features and Improvements

GPU Passthrough for Virtual Machines

Cozystack now includes the GPU Operator and supports GPU passthrough for virtual machines. Users can assign GPUs to VMs directly from the dashboard, enabling AI/ML workloads, rendering, and other GPU-accelerated tasks.