GPU Infrastructure
for Agents, not Humans.
RailCompute gives AI agents direct access to cloud GPUs so they can provision, build, test, and iterate autonomously.
Your agent's entire GPU workflow.
One API call away.
Agent-native API
No dashboards, no CLI. Your agent calls an API, gets a GPU, runs its workload, and releases it. Built for machine-to-machine from day one.
Autonomous provisioning
Agents pick the right GPU, right region, right config. No human in the loop. Infrastructure that responds to what the agent needs, not what you pre-configured.
Parallel experiments at scale
Your agent spins up 1,000 training runs, prunes failures in real time, and surfaces the best model. You wake up to results.
Zero cold-start compute
Sub-second GPU availability. Your agent doesn't wait in a queue — it gets compute the moment it needs it, so iteration loops stay tight.
Built-in eval and validation
Agents benchmark every model they produce. Automatic regression detection ensures only the best version gets promoted. No manual review needed.
End-to-end fine-tuning
Agent sends a dataset, gets back a production model. Data prep, training, evaluation, and deployment — fully orchestrated, no infra team required.
Multi-step pipelines
Chain preprocessing, training, and inference into a single agent workflow. Each step gets the exact GPU it needs. One call orchestrates the whole thing.