Rackspace

From managed hosting to managed cloud

Rackspace began in 1998, when most hosting companies offered access to single-tenant servers but few provided real customer service. The company says it built its reputation on end-to-end support, which it branded Fanatical Support, and that this helped it lead the managed hosting market. When Amazon launched its large multi-tenant public cloud in 2006, the company says it helped create the managed cloud category, so that businesses could use cloud platforms with expert operation and support.

An enterprise AI stack with one accountable operator

Today the company describes its role as operating everything in enterprise AI, from private cloud under governance controls to AI inference and agents in production. It says it assembles and integrates the layers of that stack and stays accountable for outcomes after deployment. Its partners include NVIDIA accelerated computing and Palantir software, which it says run inside a governed private cloud, and it has joined the NVIDIA Cloud Partner Program.

Engineers who work inside customer environments

Forward deployed engineers embed directly in a client's environment, building, running and scaling AI systems and turning use cases into production systems. Rackspace also describes services across applications, data, security and infrastructure, delivered on the major public and private cloud technologies. Its managed services are framed as a customer journey from the first consultation through to daily operations.

Governance, compliance and regulated sectors

The company says security, compliance, data sovereignty and uptime are built into the enterprise AI clouds it operates, which it considers most important in regulated and high-stakes environments. Its customers are large enterprises, and it describes its engineers as holding relevant certifications. The company also says independent analysts recognize its work in enterprise infrastructure and AI.

Scale and perspectives

The firm says it has more than twenty-five years of experience operating mission-critical infrastructure. Its customers are spread across more than 150 countries, and it says it employs more than 6,000 people across four continents, with headquarters in San Antonio, Texas. Its published insights cover running AI in production, shared knowledge layers across AI systems, and the governance needed to make AI work in practice.