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Dell targets enterprise AI execution gap with local agentic AI systems and integrated AI infrastructure - SiliconANGLE
Dell targets enterprise AI execution gap with local agentic AI systems and integrated AI infrastructure Dell Technologies Inc. today is kicking off its Dell Technologies World conference by expanding its artificial intelligence portfolio with enhancements aimed at helping enterprises move AI projects from experimentation into large-scale production, with a particular focus on agentic AI, data orchestration, rack-scale infrastructure and on-premises deployment. The announcements build on the company's Dell AI Factory with Nvidia initiative, which Dell said now has more than 5,000 customers globally. The centerpiece of the news is Dell Deskside Agentic AI, a new offering that combines Dell workstations, Nvidia Corp.'s NemoClaw software stack, and Dell services to enable enterprises to develop and run AI agents locally rather than relying exclusively on cloud infrastructure. Dell executives framed the announcements as a response to mounting enterprise frustration over the complexity and cost of deploying generative and agentic AI systems at scale. "Most enterprises don't have an AI ambition problem," said Sam Grocott, senior vice president of product marketing at Dell Technologies, during a media briefing. "They have an AI execution problem." He said enterprises are increasingly struggling with data management, energy consumption, sovereignty concerns and escalating cloud costs as AI workloads expand. In response, customers are demanding infrastructure that spans "from the desk side to the data center, to the edge, and all the way out to the cloud." The new deskside offering is designed to address growing concerns about the economics of agentic AI. Unlike conventional chatbots, agentic systems can autonomously execute multi-step workflows and continuously consume inference tokens, which are the chunks of data large language models use to generate results. That can create potentially enormous cloud bills. "We had a single developer burn through 1 billion tokens in 24 hours," said Jon Siegal, senior vice president of Dell's client solutions group. "That was a $3,400 cloud bill." Dell said the deskside systems allow organizations to run open-weight AI models locally while keeping sensitive data inside their own environments. That translates into spending reductions of as much as 87% compared with using public cloud over a two-year period. The offering includes several hardware configurations, ranging from compact Dell Pro Max systems for smaller models to high-end workstation towers capable of supporting models with up to 1 trillion parameters. Dell is also integrating Nvidia OpenShell across the Dell AI Factory portfolio to provide what Siegel called "a secure sandbox for running, building, testing and fine-tuning agents" locally. Beyond agentic AI, Dell also announced a series of updates to its Dell AI Data Platform (pictured, stack view) intended to help enterprises prepare and manage data for AI applications. Many organizations remain stuck in pilot phases because their data is fragmented across silos and difficult to govern, said Varun Chhabra, senior vice president of infrastructure and telecom marketing. "Most customers are not short on AI ideas," he said. "One of the hidden bottlenecks that we find when we talk to customers is the ability to get their data strategy right." Among the updates are enhanced orchestration and search capabilities that Dell said can index billions of unstructured files and accelerate vector indexing up to 12-fold. The company also announced graphics processing unit-accelerated SQL analytics capabilities developed with Nvidia and Starburst Data Inc. that promise up to six times faster query performance on Nvidia Blackwell graphics processors. Dell also unveiled support for Nvidia Omniverse, a scalable development platform for physical AI, digital twins, and 3D simulation. The integration enables customers to combine enterprise storage and semantic search capabilities with digital twin and physical AI workflows. On the infrastructure side, Dell introduced PowerRack, a turnkey rack-scale system that integrates computing, networking, storage, cooling and management into pre-engineered units for AI and high-performance computing deployments. Chhabra said customers increasingly want integrated systems instead of assembling components from multiple vendors. "With Dell PowerRack, customers no longer need to buy components and hope they work together," he said. The company also announced new cooling systems, including PowerCool CDU C7000, which it described as the first rack-mount cooling distribution unit capable of supporting Nvidia's upcoming Vera Rubin NVL72 platform in a compact 4U form factor. Dell is also using the event to further expand its ecosystem partnerships as well. New collaborations include integrations with Google LLC, OpenAI LLC, Palantir Technologies Inc., ServiceNow Inc. and Hugging Face Inc.. Under the new partnerships, Dell said Google Gemini models will be available through Google Distributed Cloud on Dell infrastructure, while OpenAI's Codex coding agent will integrate with Dell's AI Data Platform and AI Factory infrastructure. Palantir's Foundry and Artificial Intelligence Platforms are also being brought on-premises to Dell infrastructure. A new Dell AI Ecosystem program will validate partner applications on Dell infrastructure and accelerate deployment. "It gives them that reach and presence in the market by working through Dell," said Caitlin Gordon, vice president of product management for private cloud and AI solutions at Dell Most of the new announced products and integrations will become available throughout 2026, with some offerings shipping immediately.
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Dell pushes local Agentic AI with new Deskside-to-data center strategy
Dell Technologies has announced a new push toward locally deployed agentic AI systems at Dell Technologies World 2026, introducing Dell Deskside Agentic AI in partnership with NVIDIA. The company says the strategy is designed to help enterprises run autonomous AI agents closer to their own infrastructure for better privacy, governance, and lower operational costs instead of relying entirely on cloud-based AI services. At Dell Technologies World 2026, Dell Technologies announced a new expansion of the Dell AI Factory with NVIDIA focused on production-ready agentic AI deployments, introducing Dell Deskside Agentic AI alongside broader support for NVIDIA OpenShell and AI-Q 2.0 infrastructure. The announcement reflects a growing enterprise shift toward running AI agents closer to local infrastructure rather than relying entirely on cloud-based deployments. Dell says the approach is designed to address rising AI inference costs, data sovereignty concerns, and the operational complexity of scaling autonomous AI systems. The centerpiece of the launch is Dell Deskside Agentic AI, a solution built around Dell high-performance workstations, NVIDIA NemoClaw software, and Dell Services. The platform is designed to let enterprises deploy and run autonomous AI agents locally while maintaining tighter control over sensitive data and infrastructure costs. According to Dell, the solution supports workloads ranging from 30-billion-parameter models up to trillion-parameter AI systems depending on hardware configuration. The lineup includes systems such as Dell Pro Max with GB10 for smaller-scale agent prototyping, Dell Pro Precision 9 workstation towers for larger enterprise AI workloads, and Dell Pro Max with GB300 powered by NVIDIA Grace Blackwell technology for frontier-scale inference deployments. Dell says the solution is aimed at enterprise use cases including coding assistants, research agents, and AI deployments in regulated sectors where privacy and governance remain critical requirements. Another major part of the announcement is the expansion of NVIDIA OpenShell support across the full Dell AI Factory stack. OpenShell acts as a sandboxed runtime environment for AI agents, allowing enterprises to build, deploy, monitor, and govern autonomous AI systems with security and privacy controls across both workstations and data center infrastructure. Dell also introduced support for NVIDIA AI-Q 2.0, positioned as a reference architecture for deploying multi-agent workflows across enterprise environments. The platform is designed for industries such as financial services, manufacturing, and the public sector where AI systems often require on-premise deployments and stricter operational controls. The company says Dell Deskside Agentic AI can significantly reduce enterprise AI costs compared to cloud-based APIs, with Dell citing internal and third-party analysis claiming organizations could reduce spending by as much as 87% over two years depending on workload type and deployment scale. Jeff Clarke, Chief Operating Officer at Dell Technologies, said enterprises increasingly need AI systems that operate closer to their data rather than fully in the cloud, positioning local AI infrastructure as a long-term enterprise deployment model. Justin Boitano said the collaboration between Dell and NVIDIA is focused on creating a unified infrastructure stack that allows enterprises to develop AI locally while scaling securely across larger AI factory deployments. Dell confirmed that Dell Deskside Agentic AI, NVIDIA OpenShell integration, and the Dell-NVIDIA AI-Q 2.0 Reference Architecture are available immediately.
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Dell Steps Up Agentic AI Charge, Unleashes Blizzard Of Dell AI Factory With Nvidia Offerings
Dell Technologies kicked off Dell Technologies World with a blizzard of new Dell AI Factory with Nvidia improvements, including a Dell Deskside Agentic AI product. Dell Technologies Monday kicked off its Dell Technologies World show with a blizzard of new Dell AI Factory with Nvidia improvements, including a Dell Deskside Agentic AI product, aimed at making agentic AI more affordable than public cloud. Dell said its new Dell Deskside Agentic AI system, which runs the Nvidia NemoClaw secure operations layer to run agents securely on local infrastructure, provides 87 percent savings versus public cloud spend for running, building, testing and fine-tuning agentic AI solutions with a three-month break-even versus public cloud. While enterprise IT leaders are excited about the "potential game- changing benefits of agentic AI," there is "trepidation and concerns," particularly around controlling costs, said Dell Senior Vice President of Client Solutions Group Marketing Jon Siegal. "Super users are burning through tokens at such a high rate that they have sticker shock from their cloud bills," he said. "We've seen this at Dell firsthand where we actually had a single developer burn through 1 billion tokens in 24 hours. That was a $3,400 cloud bill." Dell is "answering the call" of customers with seamless agentic AI workflows across the Dell AI Factory with Nvidia, said Siegal. Among the other major Dell AI Factory with Nvidia announcements aimed at kicking the agentic AI revolution into high gear are: * The Dell AI Data Platform with support for Nvidia Omniverse, allowing customers to run "digital twins and physical AI on enterprise-grade data" *A new "seamless" Dell AI Factory with Nvidia Agentic AI Workflow Development platform, including "fully integrated" support for Nvidia's AI-Q 2.0 Blueprint for multiagent workflows * Dell PowerRack, a turnkey rack-scale solution that unites compute, networking and storage engineered as scalable units validated as a single system * Dell PowerRack For Networking, a turnkey rack prebuilt and validated with all networking, power and cooling ready to go, aimed at speeding up AI fabric rollouts * Dell Exascale storage with Support For PowerFlex Software- Defined Infrastructure, opening the door for customers to use PowerFlex for high-performance AI workloads * Dell PowerCool CDU C7000, which efficiently cools Nvidia Vera Rubin NVL72, 72 Nvidia GPUs connected together in an AI supercomputing architecture The Dell AI Factory with Nvidia AI blitz builds on just over a two-year-old partnership that has resulted in more than 320 releases of Dell AI Factory with Nvidia offerings, said Siegal. "More than 160 of those releases will have landed since Dell Technologies World last year," he said. "That is roughly one meaningful update every two days, and the pace hasn't slowed. It has actually accelerated." In its fiscal year ended Jan. 30, Dell shipped more than $25 billion in AI-optimized servers and entered the new fiscal year with a record backlog of $43 billion. Alan Ashby, senior director of data center solution sales for Dell, who has worked with the Nvidia team for 20 years, said Dell- Nvidia is an extraordinary partnership. "We are super close," he said. "I talk with the Nvidia channel team almost on a daily basis on how we can better support partners together. What we have seen over the last year and a half with the Nvidia team is how do we go do things together and support each other more than we have ever done before. If an Nvidia team is setting up a meeting, they make sure there is a Dell person in the room. If there is a Dell meeting getting set up with a partner, we make sure there is an Nvidia person in the room. We are coming at this as one team together to make sure we are both successful." The two companies' product offerings and partner rebates and incentives are all aligned, said Ashby. "It's been really fun to watch [the relationship] morph, adjust and change," Ashby said. "They have some great individuals on the Nvidia team. We work incredibly close to help go drive these solutions together." Dell partners, for their part, said the Dell-Nvidia partnership is driving dramatic sales growth in the channel. Future Tech Enterprise, a Fort Lauderdale, Fla.-based Dell Titanium partner, is experiencing triple-digit sales growth with Dell AI Factory with Nvidia solutions, said Future Tech Enterprise CEO Bob Venero. Future Tech Enterprise had a plan to exceed $1 billion in revenue within a three-year time frame, but the growth the company is experiencing with Dell AI Factory with Nvidia is going to collapse the time to hit that target in half, said Venero. "We're crushing it," he said. "In 30 years of doing this there have been impactful technologies like the internet boom and the cloud, but there has never been such a widely impacted technology offering that is going to essentially change the way companies do everything within their organization, whether it is finance, sales, integration or factory floors. AI going to expedite three, four and fivefold what companies are doing with productivity if they do it smartly." The Dell-Nvidia partnership pushing the AI envelope is "second to none," said Venero. "When you look at the engineering ingenuity Dell has built in its server line supporting HPC and AI and combine that with Nvidia's Blackwell GPUs, there is literally nobody that can compete with them," he said. "We have proven that in many cases, including a lighthouse project that we did where we were able to stand up a complete and functional Dell AI Factory with Nvidia with the new Nvidia Blackwell GPUs within three months." That Future Tech Enterprise solution for aerospace and defense contractor Northrup Grumman included Dell PowerEdge servers featuring Nvidia Blackwell GPUs with Red Hat OpenShift AI. Ahead, the $4 billion-plus Dell Titanium Black partner, Dell's highest-level tier, No. 27 on the CRN 2025 Solution Provider 500, for its part, just closed a $100 million Dell-Nvidia deal that featured Dell servers, Nvidia GPUs and Dell PowerScale storage, said Ahead co-founder and Executive Vice Chairman Stephen Ayoub. That deal took two years to complete with 60 "extremely technical" meetings. "We had over 1,000 hours of presales invested in that solution," he said. C.R. Howdyshell, CEO of Independence, Ohio-based Advizex, a Myriad360 company, which has invested heavily in driving next- generation AI solutions to its customers, said the Dell-Nvidia partnership is bringing more cost-effective AI solutions to enterprise customers. "Dell and Nvidia are allowing customers to get into a best-in-class AI solution at a reasonable investment," he said. "Nvidia knows Dell has an advantage when it comes to scale and execution, especially with the channel. It's a unique relationship." Advizex's AI solution funnel is up 100 percent this year, and the company is aiming to grow its Dell-Nvidia AI business by 50 percent over the next year, said Howdyshell. "The appetite for customers to understand more about AI is extremely high," he said. "Customers are looking for validation of AI use cases and education on how they can execute them. We have invested in resources that can help customers do both of those things." Holland Barry, field CTO for DXC, the $12.64 billion systems integration behemoth, No. 14 on the 2025 CRN Solution Provider 500, said Dell AI Factory with Nvidia is maximizing AI agent token economics to deliver more price-competitive AI agent solutions to customers. "That's where Dell AI Factory with Nvidia comes in," he said. "That's where these private [on-premises data center] deployments come into play. We can get a lot better bang for the buck at a higher performance in certain use cases by deploying in one of the private data center environments." Bob Olwig, executive vice president of global partner alliances for World Wide Technology, the $20 billion global solution provider behemoth, said Dell is making it easier for customers to "deploy, consume and operate" AI on-premises with its Dell AI Factory with Nvidia solutions. "It's really AI in a box," he said. Jason Kranitz, president at Integrated Media Technologies (IMT), Burbank, Calif., No. 200 on the CRN 2025 Solution Provider 500, said AI combined with the unstructured data explosion with video is a massive opportunity for IMT to bring Dell AI Factory with Nvidia solutions to customers. "The opportunity is bigger than it has ever been and with Dell having the supply chain and being able to absolutely crush the ability to have and deliver the right compute with the right amount of [Nvidia] GPUs -- and the fact that its PowerScale platform integrates flawlessly into their AI data platform and into the Dell AI Factory -- there is absolutely no limit to where the partnership between IMT and Dell can go," he said.
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Dell Technologies World 2026: Biggest Dell AI Factory With Nvidia Innovation
Dell Technologies unveiled a blizzard of agentic AI Dell AI Factory with Nvidia offerings, including a breakthrough Dell Deskside Agentic AI product aimed at making agentic AI more cost-effective and secure. "We are introducing some real exciting innovations here that help customers accelerate agentic AI from early experimentation at deskside all the way to production in the data center," said Dell Senior Vice President of Client Solutions Group Marketing Jon Siegal in a press conference. The Dell AI Factory with Nvidia innovation directly addresses customer concerns around the cost and data privacy of AI agent solutions, said Siegal. The Dell Deskside Agentic AI platform, for example, provides an 87 percent reduced spend versus public cloud spend for running, building, testing and fine-tuning agentic AI solutions. What's more, Dell said the break-even versus using public cloud APIs is just three months. While enterprise IT leaders are excited about the "potential game- changing benefits of agentic AI" there is "trepidation and concerns," particularly around controlling costs, said Siegal. "Super users are burning through tokens at such a high rate that they have sticker shock from their cloud bills," he said. "We've seen this at Dell firsthand where we actually had a single developer burn through 1 billion tokens in 24 hours. That was a $3,400 cloud bill." Customers are also concerned that "sensitive company data could be exposed or misused in some way due to security risks, data privacy concerns, etc. and just the lack of guardrails," Siegal said. Dell is "answering the call" of customers with seamless agentic AI workflows across the Dell AI Factory with Nvidia, said Siegal. Dell touts the Dell AI Factory with Nvidia as the "first and only" end-to-end enterprise AI platform that scales from the desktop to the largest data center deployments. The Dell AI Factory with Nvidia partnership, which is just over two years old, has resulted in more than 320 releases of Dell AI Factory with Nvidia offerings, said Siegal. "More than 160 of those releases will have landed since Dell Technologies World last year," he said. "That is roughly one meaningful update every two days, and the pace hasn't slowed. It has actually accelerated." Dell Technologies Senior Vice President of Product Marketing Sam Grocott, for his part, said Dell is aiming to reduce the "complexity and decision-making" with regard to where agents and agentic workflows should be run, whether it is on-premises, at the edge or in the public cloud. On-premises AI adoption is becoming a bigger factor, driven by data "sovereignty, security performance and increasing cost and how you take advantage and take control of the token economics," said Grocott. "These four areas are absolutely connected and absolutely what we are solving for [with the Dell Technologies World announcements]. "The historic easy button of just running it all in the cloud is not going to last as we go forward in terms of cost, economics, security, sovereignty, etc.," said Grocott. "What we have really done leveraging the 5,000 [Dell AI Factory with Nvidia] customers we've got around the world today is we have learned from them. We have documented them. We have got a set of best practices. We have got a set of Dell AI Factory services that we go to market with to help our customers really decide essentially in a hybrid AI world where some AI workloads run in the cloud, some run on-prem, some run in the data center, some run deskside. We are really helping customers lock in on making sure they run their agentic AI workloads in the right place with the right model at the right tier." Grocott said Dell is making sure that customers "don't make a simple, but very expensive, a very insecure, a very risky decision by just doing AI" in one place. "That's not the right way going forward," he said. "Right place, right model, right tier is our best practice that we are educating our enterprise customers on now." Here are the biggest Dell AI Factory with Nvidia announcements from Dell Technologies World.
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Dell launches deskside agentic AI solution with NVIDIA By Investing.com
LAS VEGAS - Dell Technologies (NYSE:DELL) announced Monday the launch of Dell Deskside Agentic AI, a solution designed to enable enterprises to deploy agentic AI workflows locally using Dell workstations and NVIDIA technology. The solution, part of the Dell AI Factory with NVIDIA, includes Dell high-performance workstations paired with the NVIDIA NemoClaw software stack and Dell Services. The system handles AI models ranging from 30 billion to 1 trillion parameters, according to a company press release statement.Investors have responded enthusiastically to Dell's AI initiatives, with the stock delivering a 115% return over the past year and trading at a P/E ratio of 27.5. According to InvestingPro, which offers comprehensive analysis including Pro Research Reports for over 1,400 US stocks, Dell remains a prominent player in the Technology Hardware, Storage & Peripherals industry with a market cap of $155 billion. Dell offers three workstation configurations: the Dell Pro Max with GB10 for models up to 200 billion parameters, the Dell Pro Precision 9 with Intel Xeon 600 processors and up to five NVIDIA RTX PRO Blackwell Workstation Edition GPUs for models up to 500 billion parameters, and the Dell Pro Max with GB300 for models up to 1 trillion parameters. The solution integrates NVIDIA OpenShell, a sandboxed runtime environment for building and deploying AI agents. OpenShell is now supported across Dell's AI infrastructure, from workstations to Dell PowerEdge XE servers running on Canonical Ubuntu and Red Hat AI platforms. Dell stated that organizations using the solution can break even versus public cloud API costs in as little as three months, citing analysis by Signal 65 and Futurum Group. The company claims potential cost reductions of up to 87% compared to cloud APIs over two years, based on validated third-party analysis. The system also supports NVIDIA AI-Q 2.0 blueprint, available as the Dell-NVIDIA AI-Q 2.0 Reference Architecture powered by Dell AI Data Platform, targeting regulated industries including financial services, public sector and manufacturing. "Dell Deskside Agentic AI gives every workgroup a secure local environment to run agents, keep costs predictable and keep IP inside the building," said Jeff Clarke, chief operating officer at Dell Technologies. All components of the Dell Deskside Agentic AI solution are available now. In other recent news, Dell Technologies reported significant developments in its business operations and financial outlook. Dell's board of directors has approved a proposal to change the company's state of incorporation from Delaware to Texas, aligning its legal domicile with its operational headquarters. This move comes as Dell continues to expand its presence in Texas, where its global headquarters and largest concentration of U.S. workforce are based. On the financial front, U.S. business equipment borrowings, including those from Dell Technologies, rose by 12.5% in March, reaching $10.8 billion, according to the Equipment Leasing and Finance Association. In terms of analyst activity, UBS downgraded Dell's stock rating to Neutral from Buy, citing valuation concerns after a strong 12-month performance. However, the firm raised its price target to $243. Meanwhile, BofA Securities raised its price target on Dell to $246, maintaining a Buy rating, highlighting the company's exposure to AI. Evercore ISI also increased its price target to $240, maintaining an Outperform rating, following a $1.4 billion purchase agreement with Boost Run for AI-related infrastructure. These developments reflect Dell's ongoing strategic adjustments and market positioning, especially in the AI sector. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Dell Technologies unveiled Dell Deskside Agentic AI at Dell Technologies World 2026, partnering with NVIDIA to help enterprises deploy AI agents locally rather than in the cloud. The solution promises 87% cost savings over two years and addresses mounting concerns about token consumption, with one Dell developer burning through 1 billion tokens in 24 hours for a $3,400 cloud bill.
Dell Technologies kicked off Dell Technologies World 2026 by unveiling a comprehensive expansion of its Dell AI Factory with Nvidia initiative, now serving more than 5,000 customers globally
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. The centerpiece announcement introduces Dell Deskside Agentic AI, a solution designed to shift enterprise AI agents from cloud-based deployments to local infrastructure, addressing what executives describe as an AI execution problem rather than an ambition gap. Sam Grocott, senior vice president of product marketing at Dell Technologies, emphasized that enterprises increasingly struggle with data management, energy consumption, data sovereignty concerns, and escalating cloud costs as AI workloads expand1
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Source: CRN
The Dell Deskside Agentic AI platform combines Dell high-performance workstations, NVIDIA NemoClaw software stack, and Dell Services to enable on-premise execution of autonomous AI agents
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. Unlike conventional chatbots, agentic AI systems autonomously execute multi-step workflows and continuously consume inference tokens, creating potentially enormous cloud bills. Jon Siegal, senior vice president of Dell's client solutions group, revealed a striking example: "We had a single developer burn through 1 billion tokens in 24 hours. That was a $3,400 cloud bill"1
. Dell claims the deskside-to-data center strategy enables organizations to achieve cost reductions of up to 87% compared with public cloud spend over a two-year period, with break-even occurring in as little as three months .The solution supports AI models ranging from 30 billion to 1 trillion parameters through three distinct workstation configurations
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. Dell Pro Max with GB10 handles models up to 200 billion parameters for smaller-scale agent prototyping, while Dell Pro Precision 9 workstation towers equipped with Intel Xeon 600 processors and up to five NVIDIA RTX PRO Blackwell Workstation Edition GPUs support models up to 500 billion parameters for high-performance AI workloads5
. The flagship Dell Pro Max with GB300, powered by NVIDIA Grace Blackwell technology, enables frontier-scale inference deployments handling models up to 1 trillion parameters2
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Source: CRN
Dell integrated NVIDIA OpenShell across the entire Dell AI Factory portfolio, providing what Siegal described as "a secure sandbox for running, building, testing and fine-tuning agents" locally
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. OpenShell functions as a sandboxed runtime environment for AI agents, allowing enterprises to build, deploy, monitor, and govern autonomous systems with security and data privacy controls across both workstations and data center infrastructure2
. Dell also introduced support for NVIDIA AI-Q 2.0, positioned as a reference architecture for deploying multi-agent workflows across enterprise environments, particularly targeting regulated industries including financial services, manufacturing, and the public sector where stricter operational controls are required2
.Related Stories
Beyond local agentic AI systems, Dell announced updates to its Dell AI Data Platform intended to help enterprises prepare and manage data for AI applications
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. Varun Chhabra, senior vice president of infrastructure and telecom marketing, identified data fragmentation as a hidden bottleneck preventing AI adoption at scale. Enhanced orchestration and search capabilities can now index billions of unstructured files and accelerate vector indexing up to 12-fold, while GPU-accelerated SQL analytics developed with NVIDIA and Starburst Data promise up to six times faster query performance on NVIDIA Blackwell graphics processors1
. Dell also unveiled PowerRack, a turnkey rack-scale solution integrating computing, networking, storage, cooling and management into pre-engineered units, alongside support for Nvidia Omniverse for digital twins and physical AI workflows1
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Source: SiliconANGLE
Dell executives framed the announcements within a broader hybrid AI vision that challenges the assumption of cloud-first AI deployment. Grocott stated that "the historic easy button of just running it all in the cloud is not going to last as we go forward in terms of cost, economics, security, sovereignty"
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. The company advocates for a "right place, right model, right tier" approach, helping customers determine whether AI workloads should run on-premises, at the edge, or in the public cloud based on data sovereignty, security, performance, and cost considerations4
. The Dell-NVIDIA partnership, just over two years old, has already produced more CAD 320 releases, with 160 landing since last year's Dell Technologies World—roughly one meaningful update every two days3
. Dell partners are experiencing triple-digit sales growth, with Future Tech Enterprise CEO Bob Venero reporting that enterprise AI demand could collapse the company's timeline to reach CAD 1 billion in revenue by half3
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