Use Case
Fine-tune and align models on right-sized clusters
From LoRA adapters to full post-training and RLHF: exactly the GPU footprint your job needs, without paying for a hyperscaler's idle overhead.
From LoRA adapters to full post-training and RLHF: exactly the GPU footprint your job needs, without paying for a hyperscaler's idle overhead.
Spin up anything from a single 8-GPU node to a multi-node cluster, matched precisely to your dataset and method.
Always-on hardware with no queue between experiments. The time from idea to running job is however long the code takes to write.
Interconnect and storage tuned for the read-heavy, multi-stage pipelines that alignment and post-training demand.
Tell us what you're building. We'll scope the cluster, quote a fixed monthly number, and commit to a commissioning date in writing. Dedicated capacity takes a quarter or more to stand up. The difference with us is that you'll know exactly when yours arrives.