Arcfra

Arcfra sells a full stack enterprise cloud platform for on premises infrastructure, bringing virtualization, Kubernetes, storage, networking, security and operations together in one product. The stated aim is to run virtual machines, containers and AI workloads on the same platform rather than assembling separate systems for each.

Unifying the stack is the argument, and it targets the integration burden rather than any single component. An enterprise building private infrastructure normally selects a hypervisor, a storage layer, a container platform and a networking approach, then spends considerable effort making them work together and keeping them compatible through upgrades. A single full stack platform trades some component level choice for the removal of that integration and lifecycle work.

The modular design is what the vendor offers in return for that trade, so that components can be adopted as needed instead of requiring the whole platform from day one. Hyperconverged infrastructure sits underneath, with the vendor publishing performance claims for its AECP release and appearing in Gartner market guidance for the category.

AI workloads are an explicit target, with a separate offering for AI inference providing native GPU virtualization and unified model governance. That reflects where private infrastructure demand is moving, since organisations running models on their own hardware need GPU partitioning and model oversight from the same platform that runs everything else.