In dynamic environments, you need dynamic infrastructure
Compute resources for machine learning are often virtual machines or Kubernetes clusters in one cloud provider, a setup that historically made sense for many companies and workloads. However, things are changing very quickly in the ML space. It feels like a groundbreaking generative model gets released every few days 
It’s not uncommon to get excited by a model on Hugging Face, only to find it doesn’t run well (or at all) on the GPU you have access to.
Optumi solves this problem by getting you the best GPUs for your use case on-demand, regardless of the cloud provider or datacenter they reside in.
The same experience across clouds
Get the best GPUs for the best prices. Only pay for what you use.
See all jobs in one place
Run on powerful resources in a few lines of Python. You can launch from the Optumi interface or use one of our integrations (e.g. WandB Launch)
Keep track of machines and how much you're spending
Make sure there’s no idle GPUs laying around. Optumi makes it dead simple to see what resources you have running.
View job summaries, logs and notifications on the go
Get texts or emails that update you on job status. You can even configure them on your phone after the job starts running.
See how each resource is being utilized over time
No need to dig through cloud consoles or use DevOps tools. Optumi gives you relevant information in a consumable way.
