Universities and research institutions in 2026 need cloud-native infrastructure for three overlapping missions: serious research computing (especially AI/ML), reproducible research environments for publication, and curriculum delivery for cloud-native courses. Cozystack provides a single open-source foundation that serves all three — multi-tenant for departments, labs, and student cohorts; KubeVirt for legacy and modern workloads; GPU-as-a-service for AI research; air-gapped support where research data sovereignty matters.
Ænix builds Cozystack-based platforms for universities, research institutes, and R&D organizations across the EU, DACH, and Central Asia.
Pairs with: Ænix Private Cloud Platform for sovereign student-data + multi-tenant research-group isolation; AI Platform for AI/ML research labs with GPU pools.
Three university missions Cozystack serves
1. Research computing infrastructure
Modern research increasingly demands GPU clusters, large-scale data processing, and HPC-adjacent workloads. AI/ML research, computational biology, climate modelling, materials science — all need infrastructure that’s between traditional HPC and modern cloud-native.
Cozystack delivers:
- GPU clusters via the NVIDIA GPU Operator, with HAMi fractional sharing so several labs share a card rather than queue for a whole one (validated A100, H100, H200, L40S, Blackwell)
- Multi-tenant per-lab isolation — Tenant CRD model with per-lab quotas, RBAC, audit trails
- VM and container side-by-side — accommodates legacy research workflows alongside modern containerized pipelines
- Self-service for principal investigators — labs can provision their own environments without ticket queues
- Reproducible environments — declarative IaC means experiments can be reproduced years later
2. Reproducible research and publication
Open science and publication-reproducibility mandates (Plan S, FAIR data principles, Horizon Europe requirements) increasingly require that research artifacts include reproducible compute environments — not just datasets and code, but the runtime that ran them.
Cozystack delivers:
- Containerized research artifacts — research environments as Kubernetes manifests + container images
- Air-gapped support — for sensitive research data (medical, classified, industrial-partner)
- Long-term archival — environments preserved alongside data for multi-decade reproducibility
- DOI integration with research data management workflows
- EOSC and similar federations — Cozystack platforms can participate in European Open Science Cloud federations
3. Cloud-native education and applied R&D
CS / engineering departments increasingly teach Kubernetes, KubeVirt, GitOps, observability — the modern cloud-native stack. Industrial partners running Cozystack in production benefit from graduates already familiar with the platform.
Cozystack delivers:
- Student / cohort sandboxes — Tenant CRD per cohort, per-student quotas, automatic cleanup
- Curriculum-ready — install/upgrade workflows that work for academic-IT teams
- Open-source first — students can run platform on personal hardware; reproduces production reality
- CNCF connection — Cozystack is CNCF Project; students gain CNCF-ecosystem familiarity
- Industrial-relevant — graduates familiar with platforms used by hosting providers, banks, AI operators
Why universities specifically benefit from Cozystack
Beyond the three missions, several university-specific considerations:
Open-source preferred
Academic ethos, transparency, and budget constraints all favor open-source infrastructure. Apache 2.0 license aligns with academic preferences and procurement realities.
Sovereignty for sensitive research
Medical research data, classified research (defence-adjacent), industrial-partner research with NDA constraints — all benefit from sovereign infrastructure that keeps data within institutional control. Air-gap support handles the most sensitive cases.
Federation with national / European research infrastructure
EuroHPC, EOSC, GÉANT, national research networks — Cozystack platforms can integrate with broader research-infrastructure federations through standard Kubernetes APIs.
Multi-stakeholder governance
Universities have complex stakeholders: principal investigators, IT departments, research-funding agencies, industrial partners, students. Cozystack’s multi-tenant model accommodates this without privileging any single stakeholder.
Long-horizon planning
Universities don’t refresh infrastructure on commercial-vendor schedules. Open-source platform with community governance fits multi-decade planning horizons.
EuroHPC and national HPC facilities adjacent
Many universities have access to EuroHPC or national HPC; Cozystack works alongside these for the workload portfolio that doesn’t need full HPC-scale.
Slurm is not the enemy, and we are not replacing it
Every research-computing conversation reaches this point, so it belongs here rather than in a footnote. Slurm is the right scheduler for tightly-coupled batch on a homogeneous cluster — MPI jobs, a fair-share queue, months of accounting history, and a user base that already knows sbatch. A Kubernetes platform does not schedule that class of work better, and a migration that takes it away buys resentment.
What the platform is for is everything the batch cluster is bad at: long-running interactive notebooks, per-group JupyterHub, web-facing research services and portals, databases behind those services, teaching environments that appear for a semester and vanish, VMs for the software a research group cannot containerize, and shared GPUs for inference rather than queued training.
Two patterns work in practice, and both are ordinary:
- Side by side. Slurm keeps the batch partition; the platform takes the services and interactive work, with the same storage mounted on both sides so a dataset does not need copying to be used from either.
- Slurm inside a tenant. A Slurm cluster runs as a workload on the platform — controller and nodes as VMs or containers in one tenant — so a group gets its own queue without a second physical cluster and without central IT operating it by hand.
Multi-tenancy is what makes either honest: per-group quotas on CPU, memory, storage and GPU, isolated networks, and usage attributable to a grant, which is the number a research-computing director is actually asked for.
What runs on Cozystack in research and academic settings
Named institutions stay anonymous by agreement, but the architecture is public: a European academic-computing service moved off a hyperscaler onto owned bare metal, kept one Cluster API across bare metal, hyperscaler and a sovereign OpenStack cloud, and cut GPU cost roughly fivefold. Cozystack is Apache 2.0 and installable without us, which is how most research-computing groups evaluate it before any engagement.
"Running Nuvolos on sovereign bare metal meant we needed hyperscaler-grade multi-tenancy without the hyperscaler. Cozystack delivered exactly that — isolated tenants, shared GPUs, KubeVirt for legacy workloads — and it's why we can promise our customers infrastructure control, not just a workspace."
Alexandru PopescuCEO, Nuvolos
Engagement structure
University engagements often have specific characteristics:
- Procurement through public-procurement portals — EU TED, member-state portals, KZ goszakup.gov.kz where applicable
- Multi-institution consortia — engagements may serve multiple universities simultaneously
- Capacity transfer to in-house IT — academic IT teams operate the platform after build; knowledge handover is first-class
- Research-grant alignment — engagement timeline often aligned with grant cycles
- Industrial-partner collaboration scope — universities increasingly partner with industry; platform supports multi-stakeholder access
For methodology see Platform Readiness Assessment.
Pricing
Cozystack platform is open source (Apache 2.0). Ænix offers academic-friendly engagement structures:
- Academic discount on commercial support tiers
- Phased engagement aligned with grant cycles
- Capacity-transfer focus — engagement explicitly invests in long-term institutional capability
- CNCF Project status — Cozystack participates in academic open-source ecosystem; some universities can apply CNCF / open-source procurement frameworks
For specific terms see discovery call.
How to start
Or read more:
- Cloud-native research and teaching infrastructure article — long-form
- Sovereign AI — AI/ML research with sensitive data
- Data sovereignty — research data sovereignty
- Platform Readiness Assessment — engagement methodology
- Cozystack — the platform
- cozystack.io — open-source project, install/docs/community
Ænix is the team behind Cozystack (CNCF Project), and we offer Ænix Platform — our commercial productized offering based on Cozystack, Kubernetes Certified Distribution, OpenSSF Best Practices. We build cloud-native infrastructure for universities, research institutes, and R&D organizations across the EU, DACH, and Central Asia.