WRITE LOCAL CODE · USE CLOUD GPUS
Fleet exists so machine-learning engineers can spend their time on models, not infrastructure. Write plain local Python, and Fleet turns it into training jobs and production endpoints on cloud GPUs.
The best developer experience is the one you already have. Your editor, your Python, your workflow — Fleet just adds the GPUs.
Nobody should have to learn Kubernetes to fine-tune a model. We hide the containers, schedulers, and drivers behind plain objects.
Per-second billing, no seats, no idle servers. The meter runs while your work does and stops when it stops.
A dashboard, an SDK, a CLI, and agent-ready docs — the same platform whether a person or an autonomous agent is driving.