Research enclave
Bound datasets, models, collaborators, instruments, and locations to one reviewable workspace.
Solutions / Research & Science
Accelerated research without surrendering collaboration boundaries
A solution architecture for scientific compute, simulation, geospatial workloads, data-intensive discovery, and controlled multi-institution collaboration.
Solution architecture
Solution architecturecurrent lifecycle
Region-specificfuture availability
Evidencebefore commitment
Capability set
Capability scope
HPC and AI
Match accelerator, storage, network, power, and scheduling requirements to eligible capacity.
Reproducibility
Capture environment, dataset, code, model, policy, and outcome for independent review.
IP boundaries
Preserve ownership, licensing, publication, export, and partner-access conditions.
Evidence matrix
What must be true before deployment
| Decision | Required record |
|---|---|
| Eligibility | Customer, mission, workload, data, jurisdiction, identity, device, and export conditions |
| Availability | Region, environment, service, configuration, quantity, delivery window, support, and exceptions |
| Control | Operator, network, keys, access, data movement, change, incident, recovery, and customer duties |
| Evidence | Owner, source, test or assessment, findings, limitations, approval, issue date, expiry, and revalidation |
Next decision
Convert the requirement into a bounded brief
Define the mission, jurisdiction, workload, sensitivity, environment, capacity, connectivity, continuity, timing, and evidence priorities without submitting restricted information.