CPU capacity partners.
Much of RL training is bound by environment steps rather than model updates. Running hundreds of environment copies in parallel needs CPU capacity more than GPUs.
We would work with you so Optimus can spread environment rollouts across your CPU capacity when a run needs it, and bring the results back into the customer's workspace. Teams get faster experiments without rebuilding their setup.
How the CPU capacity 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