The engine room for high-performance AI

We provide high-speed interconnects and multi-pod/multi-rack topologies (e.g., InfiniBand, NVLink-capable fabrics) designed to preserve low latency and high throughput for distributed training.

Nscale encrypts customer data in transit and at rest and implements tenant-scoped key management so customers retain cryptographic isolation. Access is governed by tenant-scoped RBAC and uni-identity; exceptional or operator access follows an auditable approval process with full logging. For customers with stronger compliance or sovereignity needs we offer per-tenant keys and KMS integrations, and we publish audit trails for access events.

We provide a spectrum of storage options—from high-IOPS NVMe and parallel/shared filesystems for large training jobs to object storage for datasets and model artifacts. Networking is engineered for low-latency, high-bandwidth AI workloads (private network fabric, RDMA/accelerated interconnects where needed, and peering options).

Nscale operates multiple data centers across the world. Our sites are chosen for performance, low cost energy, and sustainability, using renewable energy whenever we can. Not all data centres can operate on 100% renewable energy in every location, but where we’re unable to do so we still focus on reducing overall environmental impact through deliberate site selection, high-efficiency design, advanced cooling, and continual optimisation of how systems operate at scale. See the Data Centers page for more information.