Every Sandlake environment is single-tenant, built to be reviewed as one clear boundary by your security, model risk and vendor risk teams. We can offer that at a real price because the underlying capacity is colocated and operated at scale across North America and the EU.
GPUs assigned to a pod are not shared, oversubscribed, or time-sliced with any other customer.
Training data and model weights live on storage scoped to that pod alone.
Each pod sits on its own segmented network path, with inference endpoints reachable only via private access, not the open internet.
Nothing about one customer's data, prompts, or fine-tuning runs is visible to, or reused for, another customer.
The tuned model and its weights live on storage scoped to your pod and are never reused for another customer.
The model, its data and its validation evidence live together, so a review covers a single boundary.
Sized per pod, from a single GPU for a small team up to multi-GPU clusters for larger deployments.
Colocated in caged data center facilities selected for density, reliability and interconnect quality. Sandlake operates the cluster and does not build or own the buildings.
North America and the EU are both live. Pick the region that matches your data residency and supervisory requirements.
Facilities screened for power availability and the density needed for dedicated GPU pods.
A mix of latency-sensitive locations for internal inference and cost-advantaged capacity for larger fine-tuning workloads.