Every Sandlake pod is single-tenant hardware, scoped to your data from the start. It's the foundation for self-hosted inference and for fine-tuning or training a vertical model.
Lease a dedicated GPU pod for model training, fine-tuning and inference, operated by Sandlake in caged colocation. Single-tenant by design: no shared hardware, no co-mingled data.
Your team already trains and runs large models, and you want to run your own stack.
Scoped to the workload and data footprint, on a contracted term.
Your team already builds and governs models. Large models need different skills and infrastructure. Sandlake works alongside your team to fine-tune a vertical model on your own data, inside your dedicated environment. You own the model and its weights, and Sandlake keeps it current.
Your team knows its models and data, and you want to add large models without building GPU infrastructure.
The model and its weights belong to you. Take them in-house whenever you choose.
A setup fee per use case, plus an annual fee to keep the model monitored, retrained and ready for review. Day-to-day use is billed through Token-as-a-Service.
Metered use of your own models. Applications such as credit memo drafting, AML alert triage, client service and research call a private endpoint, and you pay for what you use, with no idle capacity to carry.
You are scaling an existing model, or you want a single partner end to end.
Private endpoint, reachable only from inside your network or VPN.