Request access
Submit the early access form — stack, fleet size, and the capacity problem you care about.
Company
We care about GPUs that sit idle while work waits.
Shared clusters turn scarce hardware into politics: who gets capacity, who waits, and why the bill never matches the progress. That problem is worth a serious product.
We're building GPU capacity infrastructure for shared clusters — recover waste, allocate fairly, explain spend — alongside Kubernetes and Slurm. Private preview. Looking for early design partners.
02 / Why we exist
Shared fleets outgrew default schedulers.
When one team owned the box, a queue was enough. When research, training, and inference share the same GPUs, utilization numbers stop telling the truth. Jobs wait. Hardware looks busy. Nobody can explain the gap.
Platform teams inherit scripts, spreadsheets, and partial dashboards. Building a durable capacity layer in-house is possible — and expensive to staff forever.
Ainek exists to become that layer: observe, allocate, pack and reclaim, explain. Not a new cloud. Not a training framework. Capacity control for the fleets you already run — built with the first teams willing to do it seriously.
03 / How we work
Early access, not a procurement theater.
Who we're looking for
ML platform, AI infrastructure, or GPU platform owners — people who live in the queue and want to help shape the product.
Honest no
If timing or stack is wrong, we say so. Early access is limited; a clear no is better than a forced partnership.
Request early access.
Tell us about your cluster. If there's a design-partner fit, we'll follow up by email.