Dell Technologies, a leading provider of AI infrastructure, announced major enhancements to its Dell AI Factory, which is engineered to simplify AI adoption and help enterprises scale with performance, automation and control.
Why This Matters
In a world where AI is increasingly at the center of digital strategies, organizations must deploy AI more quickly, securely, and in repeatable ways. According to Dell, 85% of enterprises plan to move AI workloads on-premises within the next 24 months, and 77% are looking for a single infrastructure vendor to support their entire AI journey. Dell’s expanded portfolio aims to meet these demands by offering one of the industry’s broadest end-to-end AI infrastructures.
Simplifying and Automating the AI Journey
Dell’s Automation Platform, integrated with the AI Factory, drives smarter automated deployments through the delivery of validated, optimized solutions in a secure framework. This not only cuts down on guesswork but also provides consistent outcomes that speed up enterprise AI projects.
Key enhancements include:
- Software-driven tools include the AI code assistant, powered by Tabnine, and an agentic AI platform in collaboration with Cohere North; these are now automated to help organizations push workloads into production faster and reduce operational friction.
- Dell Professional Services now offers turnkey pilots using real customer data, enabling interactive pilots to help validate use case value, define clear KPIs, and provide a demonstrable ROI before scaling.
Unlocking High Performance and Efficiency for AI Workloads
Dell has made some infrastructure updates, specially optimized for AI in data management, compute, and networking.
Improved Data Management
• Dell’s PowerScale and Dell ObjectScale, cornerstones of the Dell AI Data Platform, have been enhanced to deliver improved performance, scalability, and data discovery.
• PowerScale will soon be available as a software license on Dell PowerEdge servers (e.g., PowerEdge R7725xd) to give customers flexibility in their infrastructure.
• PowerScale also gains parallel NFS—pNFS support with Flexible File Layout—that will efficiently distribute data and attain high throughputs across nodes in a cluster.
ObjectScale AI-Optimized Search provides S3 Tables and S3 Vector APIs that accelerate data retrieval and inference—particularly useful for large-scale AI workloads like retrieval-augmented generation (RAG).
PowerEdge Innovations
Dell has updated its PowerEdge server portfolio to help tackle demanding AI workloads, from training large models down to inference, with flexible cooling options and efficient compute:
• The air-cooled PowerEdge XE9785 and liquid-cooled XE9785L are engineered for next-generation AI and HPC workloads. Each node supports dual-socket AMD EPYC CPUs, eight AMD Instinct MI355X GPUs, and AMD Pollara 400 AI NICs.
• The PowerEdge R770AP, featuring high core-count Intel Xeon 6900-series processors and generous PCIe bandwidth, excels in parallel processing, trading algorithms, and memory-intensive workloads.
Also Read: Snowflake Delivers the Enterprise Lakehouse with Enhanced Open Data Access and Flexibility for Agentic AI
Networking for AI at Scale
Dell is pushing forward in open networking to support large-scale AI deployments:
• The PowerSwitch Z9964F-ON and Z9964FL-ON are powered by Broadcom Tomahawk-6, providing up to 102.4 Tb/s of switching capacity, ideal for dense AI fabric deployments.
• These switches can be integrated with the Enterprise SONiC Distribution by Dell and SmartFabric Manager to enable automated deployment, lifecycle management, and monitoring of large-scale AI networks.
• SmartFabric Manager is now integrated with the Dell AI Factory for automated blueprinting of AI infrastructure setup, including Dell PowerScale, significantly reducing deployment time and manual configuration.
• Further, the new rack-scale integration of SmartFabric Manager with OpenManage Enterprise provides comprehensive end-to-end visibility into GPU infrastructure for administrators while easing troubleshooting and monitoring infrastructure health.
Expanding the AI Ecosystem: From Data Center to PC
Dell is not only innovating in the data center, but is also upping its AI ecosystem at the edge and on devices:
AMD Ryzen AI processors are now supported on AI PCs, assisting developers in building high-performance and efficient on-device AI apps.
• Under Dell’s IRSS program, new infrastructure tools offer resilient, unified management across servers, power, and cooling.
Key infrastructure improvements include:
• OpenManage Enterprise: This provides centralized management for compute, power, and cooling in one interface; automates the control of up to 25,000 devices; and even includes leak detection.
• There is hardware+software visibility with the Integrated Rack Controller, part of OME and iDRAC for fast leak detection and minimal risk.
• The PowerCool Rack-mount Coolant Distribution Unit (RCDU) brings liquid cooling to dense AI racks up to 150 kW, with centralized management via OME and support from Dell ProSupport to provide preventative maintenance.
Executive Insights
Arthur Lewis, President of Infrastructure Solutions Group at Dell Technologies, commented: “Enterprises tell us they want AI capabilities on their own infrastructure, but complexity has been the barrier. The Dell AI Factory removes that barrier with integrated automation and performance that let businesses deploy AI at scale and see real returns.” Scott Sinclair, Practice Director at Omdia, added: “Enterprises want AI infrastructure solutions that bring automation, scalability, and performance together in a way that accelerates time-to-value while reducing complexity. These latest enhancements to the Dell AI Factory streamline deployment and deliver integrated tools on a secure foundation that helps organizations move from experimentation into production with confidence.