Dell Expands NVIDIA-Based AI Factory, Unveils Agentic AI Infrastructure
IT DAILY ·
✦ AI Summary
Dell Technologies announced on the 22nd that it is expanding the AI solutions and ecosystem of the Dell AI Factory with NVIDIA.
Dell unveiled a desktop agentic AI solution and a purpose-built AI infrastructure solution, and said it provides an end-to-end AI-supporting data foundation and expert services.
Reflection's Beam open-weight model has completed validation, and Dynatrace, Mistral, Fogsphere, and SUSE Linux have been added to the Dell AI Ecosystem Program.
Dell Technologies announced on the 22nd that it is expanding the AI solutions and ecosystem of the 'Dell AI Factory with NVIDIA.' Dell Technologies unveiled a desktop agentic AI solution and a purpose-built AI infrastructure solution. Dell's vision is to help enterprises and institutions move agentic AI from the experimental stage to operational deployment.
Dell outlined a direction to broaden the components and partner ecosystem of the NVIDIA-based AI factory. Dell said it provides validated solutions, an open ecosystem, and expert services for the Dell AI Factory with NVIDIA. It also said it provides an end-to-end AI-supporting data foundation for the Dell AI Factory with NVIDIA. Dell also expanded the ecosystem.
At the time of Dell's announcement, the customer base for the AI Factory had increased from 5,000 last quarter to more than 6,500. Dell highlighted that growth in its customer base.
Reflection's Beam open-weight model has completed validation in the Dell AI Factory with NVIDIA. As a result, enterprises can use a model specialized for software engineering and long-horizon agentic AI tasks on their self-managed infrastructure. The model is based on the Apache 2.0 license.
Dynatrace's AI observability, Mistral's knowledge assistant, Mistral's agentic AI platform, and Fogsphere's computer vision solution have been added to the Dell AI Ecosystem Program. SUSE Linux has also been newly included in the Dell AI Ecosystem Program. Its addition expands options across the software stack, including AI models, applications, and operating systems.
On the security front, 'Red Hat AI Factory' provides a software-integrated, multilayered security architecture. The setup combines the Red Hat AI Factory for platform orchestration with hardware-based infrastructure and NVIDIA OpenShell reference architecture for runtime governance with hardware-based infrastructure. Support spans the runtime, network, data, and infrastructure layers, and the goal is to support the operation of autonomous AI agents.
Dell also unveiled products in the desktop segment. Dell said 81% of organizations are either planning to adopt AI PC or are already running pilots or deployments. Dell also unveiled the reference template 'Dell Desktop Agentic AI Solution with NVIDIA,' and each blueprint specifies the hardware, AI models, and software stack needed for each agentic AI use case. The included use cases are agentic coding, agentic VSS, NVIDIA Nemoclo, the Hermes agent based on Nemoclo, and an AI lab platform for higher education.
Dell Technologies said it will introduce 'Dell Pro Precision with GB10' for individual developers and small teams, and plans to release a configuration with 64GB of unified memory. The product can be connected in 2-node and 4-node clusters, which Dell said will allow users to run larger models and handle complex AI workflows.
Dell Technologies also said it will release a Windows version of 'Dell Pro Precision with GB300' and that the product supports up to 748GB of coherent memory and 20 petaflops of compute performance based on FP4. Michael Dell, chairman and CEO of Dell Technologies, said that as AI infrastructure is emerging as a metric that determines growth, productivity, and competitive advantage, companies are expanding and restructuring their AI infrastructure budgets. He added that Dell Technologies, in collaboration with NVIDIA, is helping enterprises advance agentic AI beyond the experimental stage and into a phase where it generates tangible results on infrastructure they own and manage themselves.
Jensen Huang, founder and CEO of NVIDIA, said that because AI agents perform reasoning, tool use, and learning functions, implementing AI agents requires a new kind of computing environment. He added that, to meet that need, Dell and NVIDIA are jointly building a computing foundation for the AI era spanning from desktops to data centers, and that this foundation will support the safe development and operation of AI agents.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=242383
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Source: IT DAILY
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