Dell and NVIDIA’s Collaborative Evolution: SC25 Unveils the Next Chapter

Dell Technologies and NVIDIA have unveiled new enhancements to their collaborative AI platform at SC25, designed to simplify the execution of a broader range of AI workloads, from traditional models to newer agent-style systems.

Many organizations encounter similar challenges as they scale their AI initiatives. They need to navigate a growing array of hardware and software, maintain control over their data, and ensure scalability for their systems. Recent studies indicate that most organizations prefer working with a trusted partner when adopting new technologies, with a focus on AI operating in close proximity to their data for added value.

The Dell AI Factory with NVIDIA is centered around this concept, merging Dell’s comprehensive infrastructure stack with NVIDIA’s AI tools, bolstered by Dell’s professional services team. The objective is to assist companies in transitioning from concepts to tangible outcomes while managing technical intricacies effectively.

Enhancements to Dell’s storage and AI capabilities aim to automate setup, enhance performance, and enable real-time AI tasks with greater consistency. The integration of ObjectScale and PowerScale, the storage engines powering the Dell AI Data Platform, with the NVIDIA NIXL library from NVIDIA Dynamo facilitates scalable KV Cache storage and sharing, resulting in a one-second Time to First Token at a 131K-token context window. This integration also helps reduce costs and alleviate pressure on GPU memory.

Furthermore, the Dell AI Factory with NVIDIA now offers support for Dell PowerEdge XE7740 and XE7745 systems equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and NVIDIA Hopper GPUs. These systems provide organizations with increased capacity to run larger multimodal models, agent-style workloads, training tasks, and enterprise inferencing with enhanced performance.

The introduction of the Dell Automation Platform aims to eliminate guesswork by delivering optimized and validated deployments through a secure setup, enabling repeatable results and offering clear pathways for teams to develop AI workflows. Additionally, automated software tools such as the AI code assistant with Tabnine and the agentic AI platform with Cohere North expedite the transition of workloads to production and streamline operations as organizations scale.

In addition to core data-center systems, Dell’s AI PC ecosystem now supports devices featuring NVIDIA RTX Blackwell GPUs and NVIDIA RTX Ada GPUs, expanding hardware options across Dell laptops and desktops. Dell Professional Services also provide interactive pilots that leverage a customer’s data to test AI concepts before major investments, focusing on measurable metrics and outcomes to help teams assess business value confidently.

Dell is enhancing its infrastructure portfolio to accommodate more complex AI and HPC workloads, emphasizing performance, scalability, and simplified management. The upcoming Dell PowerEdge XE8712, capable of supporting up to 144 NVIDIA Blackwell GPUs in a standard rack, facilitates rack-scale AI and HPC accessibility, complemented by unified monitoring and automation through iDRAC, OpenManage Enterprise, and the Integrated Rack Controller.

Enterprise SONiC Distribution by Dell Technologies now supports NVIDIA Spectrum-X platforms in conjunction with NVIDIA’s Cumulus OS, allowing organizations to construct open, standards-based AI networks that can span multiple vendors. The latest SmartFabric Manager release extends support to Dell’s Enterprise SONiC on NVIDIA Spectrum-X platforms, aiming to streamline deployment and reduce setup errors through guided automation.

Organizations are continuously revising their AI budgets and strategies, seeking flexibility in their toolkits. Red Hat OpenShift for the Dell AI Factory with NVIDIA is now validated on additional Dell PowerEdge systems, providing teams with more options for scaling AI workloads.

Support now encompasses both the Dell PowerEdge R760xa and the Dell PowerEdge XE9680 with NVIDIA H100 and H200 Tensor Core GPUs, combining Red Hat’s governance tools with Dell’s secure infrastructure for seamless AI scalability.

The recent updates from Dell and NVIDIA are geared towards aiding organizations in transitioning from pilot phases to full-scale deployment. Jeff Clarke, Vice Chairman and Chief Operating Officer at Dell Technologies, emphasized that the Dell AI Factory with NVIDIA addresses a common challenge for many teams – how to progress from AI pilots to production without rebuilding their infrastructure. By handling the integration work, Dell aims to empower customers to deploy and scale confidently.

NVIDIA views this evolution as part of a broader shift in how businesses leverage AI. Justin Boitano, Vice President of Enterprise AI products at NVIDIA, highlighted the ongoing transformation of enterprise AI from experimentation to operational transformation, reshaping the business landscape at a rapid pace. Dell and NVIDIA are committed to supporting this shift with a unified platform that converges infrastructure, automation, and data tools to enable organizations to deploy AI at scale and achieve tangible outcomes.

Industry analysts echo the demand for integrated systems that are both powerful and user-friendly. Ashish Nadkarni, Group Vice President and General Manager for Infrastructure Systems, Platforms, and Technologies at IDC, emphasized the significance of Dell’s AI portfolio combined with NVIDIA’s technology in delivering enterprise-ready AI solutions.

(Image by Dell Technologies)

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