Compute partners.
arkenOS is local-first, so experiments start on the customer's own machines. When a run outgrows them, such as a large sweep, a long training job, or many parallel environments, it needs capacity elsewhere. Compute partners supply GPUs and CPUs that Optimus can send runs to and release when the job ends. Customers keep one workspace while the heavy runs move to your infrastructure, and your demand arrives already shaped as training jobs.
What you can supply
- GPU capacity partnersOn-demand GPUs for long training jobs, large models, and big sweeps.
- CPU capacity partnersCapacity for running many environment copies in parallel.
- Cluster and job scheduler partnersSchedulers and cluster tools that training runs can plug into.
- Checkpoint and artifact storage partnersStorage for checkpoints, logs, and trajectories, with provenance kept intact.
How the compute partnership works
Steps
- 01
Share access
You give us access to the product, its technical documentation, and a contact on your engineering team.
- 02
We integrate
We build the integration and write the documentation Optimus follows, so it knows when to use your product and how.
- 03
Test together
We run it in a real training setup and check the results with you before anything reaches a customer.
- 04
Go live
Optimus can select your product in customer runs, on commercial terms we agree with you.
For researchers
If you research efficient training, scheduling, or how RL scales, we would like to collaborate. Optimus records every run and its settings, which makes experiments on cost and throughput easier to reproduce. We are open to publishing results together.
Academic labs, independent researchers, and open-source teams can apply for up to $30,000 in Iacon credits through our research grants.
Talk to us
If a training run consumes what you sell, we should talk. Book a time directly, or write to dev@iaconautonomics.com and tell us which layer you supply.
Book a call