Molly runs the infrastructure. You never pick a GPU.
Molly orchestrates and administers compute for you. It autonomously finds, provisions and rents the right NVIDIA GPUs — the exact model, the exact count — based on your workload, then releases them the moment the job is done. No hardware decisions, no provider accounts, no idle spend.
How Molly provisions
Detects the workload
Training, fine-tuning, inference or rendering — Molly profiles the job’s memory, throughput and duration requirements automatically.
Selects model + count across providers
It matches the exact NVIDIA GPU model and quantity across integrated providers — from a single card to a multi-node cluster.
Runs isolated, meters, releases
The job runs in a private, isolated environment, metered per-minute. When it finishes, the hardware is released instantly.
Right-sized
No over- or under-provisioning — capacity matched to the workload, every time.
Private & isolated
Dedicated, isolated environments per customer for every run.
Zero Data Retention
Your data and weights are never stored beyond the job’s lifetime.
Pay-per-use
Per-minute metering. No minimums, no reservations, no idle cost.
Instant scale
From one GPU to many, provisioned in minutes as the workload demands.
Molly provisions NVIDIA GPUs on-demand across integrated providers. Availability and models vary by region and workload. NVIDIA and the NVIDIA logo are trademarks of NVIDIA Corporation.