You own the AI/ML platform, and the constraints are stacking up: GPU cost and scarcity, data that can’t leave the jurisdiction, and customers who won’t accept a US model endpoint. Run training and inference on your own GPUs, multi-tenant, with no hyperscaler lock-in. Ænix delivers that as a turnkey AI platform, or builds it with you.
Pairs with: Sovereign AI and Ænix AI Platform for one-click GPU inference, or AI Platform Build to design it to your stack. Open core: Cozystack.
Where you are right now
- GPU spend and scarcity make hyperscaler instances expensive and hard to get.
- Training data is sensitive or regulated and can’t go to a third-party endpoint.
- You need multi-tenant GPU sharing across teams, not a cluster per project.
- You want production inference (vLLM/LLM serving) without re-platforming each time.
What you’re actually trying to do
Give data scientists and product teams self-service GPU — for training and for serving models — on infrastructure you control, so cost, data location and model choice stay your decision. That means multi-tenant GPU scheduling, one-click inference, and a path that doesn’t lock you to a single provider’s endpoints or pricing.
Two ways Ænix helps you
1. Run a turnkey AI platform. Ænix AI Platform adds GPU scheduling and one-click LLM/vLLM inference to the multi-tenant Cozystack core — self-service for your teams, on your hardware, with Ænix support. NVIDIA data-centre GPUs are supported through the NVIDIA GPU Operator: passthrough of whole GPUs to VMs, NVIDIA vGPU for VMs (requires your NVIDIA vGPU licence), whole GPUs or MIG partitions to pods, and time-sliced sharing for pods via HAMi.
2. Build your own, with our team. Cozystack is the framework; Ænix is your outsourced engineering team for an AI platform build — GPU topology, scheduling, inference serving and sovereign-AI controls designed around your models and data.
Quick facts
- What it is: a multi-tenant GPU platform for training and inference on your own hardware.
- Who it’s for: Heads of AI/ML, MLOps leads, AI platform owners.
- Control: your GPUs, your jurisdiction, your model choice — no hyperscaler endpoint dependency.
- Licence: Apache 2.0 core (Cozystack) — no per-GPU platform tax.
- Status: built on Cozystack, CNCF project (Sandbox 2025-02-28; Incubating application in due diligence), accepted into the CNCF Kubernetes AI Conformance program in September 2026 (details).
- Common pitfall: prototyping on a hyperscaler endpoint, then discovering the data class can’t legally go there in production.
Why AI/ML leaders pick Ænix
- Sovereign by construction. Sensitive data and models stay on your hardware, in your jurisdiction — not on a third-party endpoint.
- Multi-tenant GPU, not silos. Share scarce GPUs across teams with quotas and isolation.
- Authors, not resellers. The team that created Cozystack designs and supports the platform.
FAQ
Can we do both training and inference? Yes — GPU scheduling for training plus one-click LLM/vLLM serving for inference on the same multi-tenant platform.
Do our models have to leave our infrastructure? No. Models and data stay on your GPUs in your jurisdiction; you choose open or self-hosted models, not a fixed vendor endpoint.
How do teams share scarce GPUs? Multi-tenant scheduling with quotas and isolation, so teams self-serve without a dedicated cluster each. Fractional sharing for pods runs through HAMi; whole GPUs go to VMs by passthrough, or NVIDIA vGPU splits a card between VMs (requires your NVIDIA vGPU licence). GPU usage is measured per tenant, so you can charge teams back in your own billing system.
Build or buy? The AI Platform for speed; the build-with engagement when GPU topology and serving need to fit your stack. The call scopes it.
How does this relate to sovereign AI rules? See sovereign AI — running on customer-controlled hardware is the structural answer to data-class and endpoint restrictions.
Start with a 30-minute discovery call
Free, no prep. We look at your GPU footprint and model/data constraints and tell you whether the AI Platform or a build-with engagement fits.
Ænix created Cozystack, a CNCF Sandbox project (Incubation application in due diligence) under Apache 2.0, and co-maintains it with maintainers from other companies. On it, Ænix builds three platforms that combine rather than exclude each other: Ænix Public Cloud Platform, Ænix Private Cloud Platform and Ænix AI Platform.