Our edge compute network empowers real-time, AI-driven decisions in critical government and commercial enterprises, from office to factory floors, infrastructure to defence.
Empowers organizations to retain ownership and control of their data, reducing risks and dependency on remote, third-party cloud providers.
Minimizes environmental footprint by using more efficient, localized infrastructure and avoiding the resource drain associated with conventional mega data centers.
Offers a cost-effective approach that eliminates the excessive time and capital needed for traditional data center builds, leveraging existing assets and deploying quickly at the edge.
Distributed, ruggedized, and redundant units deliver reliable storage and compute, fueling innovation across cities, businesses, and public services by keeping data and computing power close to users.
Entry-level, cost-efficient inference node suitable for development, testing, and production inference.
Current-generation heavy training node widely deployed in HPC and AI clusters.
Flagship exascale platform, liquid-cooled and designed for frontier AI training, including GPT-scale models.
Deployed within existing data centers. These units integrate with current infrastructure and use on-site utilities. This option offers flexible, cost-effective scaling without construction or specialized enclosures.
Rugged, standalone units housed in hardened shells, similar to a 20-foot container, built for outdoor exposure. Designed for locations without traditional facilities, these units deliver secure, reliable cloud capabilities anywhere, protected against weather and physical impacts.