TrainML

We believe today's machine learning infrastructure solutions are failing ML teams. Big Cloud charges so much for GPUs that you're buying them a new server every few months. Running your own servers creates a massive IT burden as soon as you scale beyond one developer using one server. On top of that, if you bought a 4 GPU system, what happens when you need a 5th? We're building the next generation of cloud infrastructure for machine learning. The trainML platform provides the cloud-level DevOps and infrastructure automation teams expect while using your on-premise GPUs to save money. If you don't have your own systems or need to burst above your capacity, you can rent idle capacity from others. Either way, there aren't any clusters to configure or systems to maintain. Declare cloud independence and join trainML's machine learning infrastructure network!