No need to manage hardware and forget about choosing GPU types and GPU quantities. Charged based on the number of tokens in the datasets and training epoches

Scheduling your fine-tuning jobs across a decentralized network of GPUs. Effortlessly scale as needed, with automatic resource allocation to match the demands of your workload.

The platform has built-in fault tolerance mechanisms and seamlessly handles hardware unavailability and failures, ensuring uninterrupted model fine-tuning without manual intervention.