Reserve a cluster and drive it yourself, or hand us the model and consume it as an endpoint. Same fleet, same engineers, same operating standard behind both.
Isolated multi-node clusters held for you across the contract term. Non-shared GPUs on a dedicated fabric, with parallel filesystem storage sized to the run and a fixed node count you can plan a training schedule around.
Smaller node counts for evaluation, ablations and burst work, drawn from the same pools as the reserved fleet so behaviour in a pilot matches behaviour in production.
Dedicated endpoints for open-weight and custom models, deployed and tuned by our engineers. Capacity is held for your peak rather than borrowed from a shared pool, and the endpoint stays in the region you chose.
Managed fine-tuning and post-training workflows to adapt open models to your data, then promote the result straight onto your own endpoints without the weights leaving our infrastructure.
The platform is deliberately thin. Compute, network, storage and observability, run to one standard across every region we operate.
Direct access to the accelerator, no hypervisor tax between your job and the silicon.
Parallel filesystem for training sets and checkpoints, object storage for everything cold.
Private interconnect and peering into the region, with tenant isolation at the fabric level.
Node health, fabric counters and job telemetry exposed to you, not just to us.
Spare nodes held in region, drain-and-replace during long runs, engineers on call in your timezone.
Data stays in the country you picked, under South American jurisdiction, with access logs you can audit.
We come back with a cluster specification, a region and a delivery date.