Dell Technologies is advancing the field of artificial intelligence through its latest innovations in the Dell AI Factory powered by NVIDIA. This initiative aims to enhance AI adoption across enterprises by offering comprehensive AI infrastructure, solutions, and managed services, effectively streamlining the journey from AI experimentation to full-scale implementation.
Key Innovations and Infrastructure Enhancements
The latest updates from Dell and NVIDIA focus on delivering AI solutions characterized by accelerated data processing and operational efficiency. New infrastructure developments include an array of next-generation computing, data management, and networking solutions designed for scalability:
- PowerEdge XE9780 and XE9785 Servers: These air-cooled servers are designed to integrate seamlessly into existing data centers, while the liquid-cooled PowerEdge XE9780L and XE9785L servers enhance rack-scale deployment. They are capable of supporting up to 192 NVIDIA Blackwell Ultra GPUs, with options for customization increasing to 256 GPUs per Dell IR7000 rack.
- PowerEdge XE9712: Featuring NVIDIA GB300 NVL72, this server excels in rack-scale efficiency for AI training, achieving up to 50 times more AI reasoning inference output and a fivefold improvement in throughput.
- PowerEdge XE7745: This server, available in July 2025, will support NVIDIA RTX Pro 6000 Blackwell Server Edition GPUs, offering a robust platform for diverse AI applications, including robotics and digital twins.
- Networking Solutions: Dell has expanded its networking capabilities with PowerSwitch SN5600 and SN2201 Ethernet switches, which provide high density and low-latency connections, backed by expert support from Dell ProSupport.
Data Management and Performance Enhancements
Data management remains a critical component for AI effectiveness. Dell’s advancements in the AI Data Platform ensure that organizations gain high-quality, real-time access to essential data:
- Dell ObjectScale: This software-defined system supports large-scale AI initiatives and is designed to reduce costs while enhancing performance. Integrations with NVIDIA’s networking technologies, BlueField-3 and Spectrum-4, further boost scalability.
- New High-Performance Solutions: Combining PowerScale, Project Lightning, and XE servers, these solutions utilize KV cache and NVIDIA’s NIXL Libraries, optimizing deployments for large-scale distributed inference workloads.
- Integration Capabilities: The ObjectScale platform will support S3 over RDMA, yielding significant improvements in throughput, latency, and CPU load reduction.
Software and Managed Services
To simplify AI deployment, Dell offers the NVIDIA AI Enterprise software platform directly from its factory. This solution empowers enterprises to leverage advanced features and frameworks for quicker time-to-value in AI outcomes:
- Agentic AI Deployment: The platform includes access to NVIDIA NIM, NeMo microservices, and various tools for developing AI workflows efficiently.
- Managed Services: Dell’s new managed services initiative alleviates the burden of AI operations by providing round-the-clock management of the NVIDIA solutions stack, including infrastructure and software. This ensures that teams can focus on strategic initiatives while relying on Dell’s expertise for operational support.
Future Availability
Several of these innovative solutions and services are set to be available in the near future, including:
- Air-cooled PowerEdge XE9780 and XE9785 Servers: Expected availability in the second half of 2025.
- Liquid-cooled PowerEdge XE9780L and XE9785L Servers: Set to launch later this year.
- PowerEdge XE7745 Server: Planned for release in July 2025.
- ObjectScale Support and S3 over RDMA: Targeted for availability in the second half of 2025.
Expert Perspectives
Michael Dell, CEO of Dell Technologies, emphasized the company’s commitment to making AI accessible for a broad range of enterprises, enabling management of the entire AI lifecycle across various use cases. Meanwhile, Jensen Huang, CEO of NVIDIA, noted the partnership’s efforts to deliver a comprehensive suite of systems designed to support AI initiatives across diverse sectors, including healthcare and finance.