Highlights

  • Dell expanded its AI Factory programme in October, combining new infrastructure designs with deployment templates and services for enterprise customers.
  • More than 6,500 enterprises have adopted Dell AI Factory with NVIDIA, up from 5,000 in the company's preceding quarterly comparison.
  • Second-quarter revenue increased 58% YoY to USD 47.0bn, supported by AI servers and growth across traditional infrastructure and client products.
  • Management increased FY27 revenue guidance to USD 192bn while planned data and infrastructure capabilities retain separate release dates through 2027.

Enterprise AI deployment is expanding across infrastructure, data and desktop systems at Dell Technologies (NYSE:DELL). October announcements added development templates and new computing platforms to a business already reporting substantial AI server orders. Dell shares closed at USD 467.09, up 2.33%, after the market session ended on 26 October 2026. The technology programme follows a higher annual revenue outlook, with individual releases extending from currently available tools into planned capabilities for 2027. Dell supplies enterprise infrastructure, personal computers, storage and related technology services.

AI Factory Adds Deployment Options Across Computing Environments

The 21 October update extended Dell AI Factory with NVIDIA across validated software, deskside configurations and infrastructure. Dell said more than 6,500 enterprises had adopted the offering, compared with 5,000 in its preceding quarterly comparison, based on its own customer order analysis.

New reference templates specify hardware, models and software for agentic workloads. They are designed to support deployments ranging from individual developers to enterprise environments with 1,000 or more systems.

Dell also outlined a modular data-centre reference design combining compute, storage, networking, power and liquid cooling. Its availability is planned for early 2027. Additional server platforms address agent execution and inference, with several scheduled for 1Q calendar 2027.

Managed Services for AI is likewise planned for 1Q calendar 2027. Its purpose includes governing access, managing consumption and controlling costs as organisations move from pilot projects into production. These future releases remain distinct from deployment templates already made available.

Data Platform Roadmap Connects Information With Agent Workflows

An earlier 6 October announcement expanded Dell AI Data Platform. The programme addresses the preparation and interpretation of enterprise information held across files, databases, cloud services and multiple locations.

A Unified Semantic Layer, Enterprise Knowledge Graph and Knowledge Agents are planned for the first half of 2027. They are intended to give applications and agents a consistent interpretation of governed company data, reducing repeated reconstruction of context during requests.

Data Processing Engine enhancements are scheduled for December 2026, with further acceleration expected in the first half of 2027. PowerScale security and multitenancy enhancements are planned for November. The Storage Performance Tool and AI-ready data services were already available at announcement.

Higher Revenue and Orders Support the Revised Financial Plan

Revenue reached USD 47.0bn in 2QFY27, ended 31 July, increasing 58% YoY. GAAP diluted earnings rose to USD 6.34 per share, while non-GAAP earnings were USD 7.04. Operating cash flow was USD 2.2bn.

AI-optimised servers generated USD 16.4bn of revenue and USD 60.9bn of orders, leaving a USD 95bn backlog. Infrastructure Solutions Group revenue increased 89% YoY to USD 31.8bn, while Client Solutions Group revenue rose 20% YoY to USD 15.0bn.

Management raised FY27 revenue guidance from USD 167bn to USD 192bn and forecast USD 74bn in AI-optimised server revenue. Full-year non-GAAP earnings guidance increased to USD 25.50 per share. The 3QFY27 forecast calls for USD 49bn of revenue and USD 6.50 in non-GAAP earnings per share, remaining expectations for the forthcoming operating period.