Dell Technologies Delivers Production-Ready Agentic AI from Deskside to Data Cente

Dell Technologies (NYSE: DELL) introduces Dell Deskside Agentic AI, a new addition to the Dell AI Factory with NVIDIA that gives workgroups the ability to deploy and scale agentic AI workflows locally without the cost, latency and data sovereignty constraints of cloud-only approaches. With the NVIDIA OpenShell runtime now supported across the entire Dell AI Factory with NVIDIA, enterprises benefit from a single security and policy enforcement layer from deskside workstations to Dell PowerEdge XE servers.

As AI workflows shift toward agentic architectures, token usage compounds at an accelerating rate, driving cloud costs that can quickly become unsustainable despite falling token prices. Cloud-only strategies fall short on what matters at scale: economics, security and data sovereignty. Organizations running agentic AI need infrastructure that addresses all three and scales with workloads without requiring a rebuild every time they mature.

The Dell AI Factory with NVIDIA delivers an enterprise-ready path from the desk where decisions are made to the data center where they scale. For agentic AI workloads of various sizes, organizations can break even versus public cloud API costs in as little as three months with Dell Deskside Agentic AI.1 Deskside systems keep inferencing local, costs predictable and data secure, giving businesses greater control over their AI environment. NVIDIA OpenShell gives developers and IT teams a secure, sandboxed environment to build, deploy and govern AI agents across the Dell AI Factory with NVIDIA from workstations to servers. Teams can build and iterate more freely while reducing exposure to unpredictable cloud inference costs, bandwidth expenses and IP risks.

Dell Deskside Agentic AI is built around the reality that roughly over 50% of agentic workflows run on open-weight models.2 This is where the 30-billion to 284-billion parameter model range performs bulk reasoning that efficiently drives operations forward. From coding assistants and research agents to highly secure, private AI assistants for regulated industries, the solution offers a range of Dell high-performance workstations, each sized for different workload and budget requirements. These pair with the NVIDIA NemoClaw reference stack and Dell Services to handle heavy AI workloads wherever they make the most economic sense. With Dell Deskside Agentic AI, organizations can reduce spend up to 87% compared to cloud APIs, over two years.3

Dell Pro Max with GB10: Compact and power-efficient system for small-scale, individual agent prototyping, starting with 30 billion up to 200 billion parameter models.

Dell Pro Precision 9: Enterprise workstation towers featuring Intel Xeon 600 processors for workstation and up to five NVIDIA RTX PRO Blackwell Workstation Edition GPU configurations, providing scalable performance for workhorse‑class GPU workloads and supporting models from 30 billion to 500 billion parameters.

Dell Pro Max with GB300: Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and Dell’s exclusive MaxCool technology for peak efficiency, this platform is purpose-built for inference of frontier-level AI models from 120 billion up to 1 trillion parameter models.

NVIDIA NemoClaw reference stack: An open-source foundation for securely managing always-on AI agents built on OpenClaw, the agentic framework that powers persistent, autonomous, multi-step AI workflows on local hardware. The stack combines high-performance NVIDIA Nemotron open models for reasoning and coding, and OpenShell's secure runtime — all part of the NVIDIA Agent Toolkit for building and orchestrating long-running agents.

Dell Services: End-to-end guidance through the full agentic AI lifecycle – from initial strategy and hardware deployment to workflow alignment, agent prioritization and ongoing optimization – accelerating time-to-production and closing internal AI skills gaps.

Deploying agentic AI in production requires a consistent framework that protects sensitive data, integrates with current operations and covers the full infrastructure stack. NVIDIA OpenShell, now supported across the entire Dell AI Factory with NVIDIA, gives organizations a sandboxed environment to build, deploy and govern agents with privacy and security controls at runtime. It spans Dell high-performance workstations through Dell PowerEdge XE servers on Canonical Ubuntu and Red Hat AI in the Dell AI Factory with NVIDIA. Developing and deploying agents closer to data improves governance, security and operational control.

NVIDIA AI-Q 2.0 blueprint support gives organizations a tested foundation to deploy multi-agent workflows handling research, decision support and complex tasks, accelerating the move from pilot to production. Now available as the Dell-NVIDIA AI-Q 2.0 Reference Architecture, powered by Dell AI Data Platform, it is engineered for demanding on-premises workloads in regulated industries including financial services, public sector and manufacturing.

Jeff Clarke, chief operating officer, Dell Technologies:

“The most efficient token is the one produced closest to the data, and most enterprise data isn't in the cloud. Dell Deskside Agentic AI gives every workgroup a secure local environment to run agents, keep costs predictable and keep IP inside the building. What works at the desk scales to the data center. That's a deployment model for the next decade.”

Justin Boitano, vice president, AI Platforms, NVIDIA:

“As enterprises reshape and scale the future of work with agentic AI, they’re seeking infrastructure that spans the full enterprise — from our desks where work happens to the AI factories where intelligence scales. With NVIDIA OpenShell across the Dell AI Factory with NVIDIA, enterprises can develop locally, scale securely and deploy agentic AI on one consistent platform.”

Ryan Shrout, president, Signal65:

“As enterprises transition from AI experimentation to full-scale production, the need for secure, scalable and cost-effective infrastructure has never been greater. Dell Deskside Agentic AI, as part of the Dell AI Factory, bridges the gap between local control and enterprise scalability, while providing headroom for continued iteration. This deskside to data center capability is unique and empowers organizations to harness the full potential of agentic AI while maintaining data sovereignty and predictable costs.”

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Kingston Targets Mobile Creators with High-Performance Portable SSDs for Summer Travel

Kingston Technology has refreshed its high-performance mobile portfolio, debuting a robust suite of portable SSDs and digital storage solutions built specifically for content creators and travelers working on the move. With high-resolution media workflows expanding rapidly across tablets, action cameras, and mobile rigs, the hardware lineup tackles the critical challenge of field backups and real-time editing during summer transit. Engineered to keep pace with intense data requirements, Kingston's travel-ready technology solutions focus on high-speed data transfers, cross-platform device compatibility, and optimized file organization, ensuring that vloggers and digital professionals can safely offload heavy video assets mid-journey.

Kingston XS2000 External SSD

Don't let storage limits slow down your summer adventures. From road trips and family vacations to content creation on the go, the Kingston XS2000 portable SSD gives you the speed and capacity to store every moment. With fast transfers, rugged durability, and up to 2TB of storage, it's built for travelers who want to keep shooting, creating, and exploring without compromise.

• Speeds up to 2,000MB/s with USB 3.2 Gen 2x2 
• IP55 rating with removable rubber sleeve 
• Delivers speeds of up to 400 HD photos per second and transfers a 1-hour 4K video in under 30 seconds, making it ideal for backing up high-resolution photos, travel vlogs, and 8K video content on the go

Kingston Dual Portable SSD

Whether you're hopping between flights, road-tripping with friends, or capturing every summer moment, the Kingston Dual Portable SSD makes storing and transferring files effortless. With built-in USB Type-A and USB Type-C connectors, it lets you move photos, videos, and travel content seamlessly across devices—without carrying extra cables.

• Cable-free portable SSD with dual USB Type-A and USB Type-C connectors
• USB 3.2 Gen 2 speeds up to 1,050MB/s read and 950MB/s write
• Compact, lightweight metal design that slips easily into any pocket, backpack, or carry-on

Kingston XS1000 External SSD

The Kingston XS1000 External SSD is the perfect summer travel companion, designed for travelers, creators, and adventurers who want to capture every moment without worrying about storage. Compact, lightweight, and easy to carry, it provides fast and reliable backup for vacation photos, videos, and travel content while on the go.

• Ideal for storing and backing up travel photos, videos, drone footage, and holiday memories
• Fast transfer speeds of up to 1,050MB/s with USB 3.2 Gen 2 for quick file access and backups
• Pocket-sized and lightweight design, making it easy to slip into any backpack, carry-on, or camera bag
• Includes USB-C® to USB-A cable and USB-A to USB-C adapter for broad compatibility with laptops, tablets, smartphones, cameras, gaming devices, and more
• Perfect for creators and travelers who need extra storage without adding bulk to their journey

Kingston Canvas Go! Plus SD Memory Card

Designed for summer travel and adventure photography, the Kingston Canvas Go! Plus SD card is built to capture every moment in stunning 4K UHD quality—whether you're exploring new cities, shooting landscapes, or recording fast-action memories on the go. It delivers reliable performance so you never miss a shot during your travels.

• Ideal for 4K UHD video recording and fast-action travel photography
• UHS-I U3 and Video Speed Class V30 for smooth, uninterrupted capture
• Available in 64GB, 128GB, 256GB, 512GB, and 1TB capacities for extended trips and high-volume shooting

For more information visit kingston.com

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Cadence Announces Collaboration with Intel Foundry to Accelerate Intel 14A Process Optimization for HPC and Mobile Designs

Cadence (Nasdaq: CDNS) today announced an expanded collaboration with Intel Foundry to advance Design Technology Co-Optimization (DTCO) targeting Intel’s next-generation process technologies, beginning with Intel 14A. The new multi-year agreement combines Cadence’s agentic AI-driven EDA and Design IP solutions with Intel’s process innovation and advanced design expertise. 

The DTCO collaboration focuses on optimizing tools, flows, and methodologies to deliver industry-leading performance, power, and area (PPA). Cadence and Intel will work closely to optimize Intel 14A to deliver production-ready PDKs. The collaboration will also leverage Cadence’s agentic AI flows and core products to accelerate time-to-market and reduce design risk. 

“Advancing our relationship with Intel into a much deeper partnership is a major milestone for both companies,” said Anirudh Devgan, president and chief executive officer, Cadence. “This collaboration will leverage the strengths of both companies to empower customers to unlock new levels of performance, power, and efficiency, advance the state of the art and accelerate the realization of next-generation products.”

“Our expanded collaboration with Cadence reflects Intel Foundry’s continued focus on delivering on its technology roadmap and ecosystem on behalf of our customers,” said Naga Chandrasekaran, executive vice president and general manager of Intel Foundry. “By combining Intel’s process and packaging with Cadence’s AI-driven design tools, we are enabling deeper co-optimization, strengthening our ability to deliver on customers’ needs, and showcasing the ability of both companies to drive innovation at scale.”

About Cadence

Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies.

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Lenovo Debuts Tab Plus Gen 2 with Upgraded Audio and Visuals for On-the-Go Entertainment

Lenovo has officially unveiled the Tab Plus Gen 2, a next-generation Android tablet engineered specifically to match the fluid ways modern users move between media consumption, multi-device workflows, and shared content. Building on the unique entertainment focus of its predecessor, the updated device introduces comprehensive hardware upgrades spanning cinematic audio, display brightness, and everyday versatility. According to Tony Chen, Vice President of Tablets at Lenovo, the device was intentionally developed to accommodate a lifestyle where recreation isn't tied to a single room—giving users the complete freedom to enjoy their digital content seamlessly across work, travel, and downtime.

The core aspect that has been upgraded from the last generation is the speaker system, as it uses a 9-unit JBL array tuned with Dolby Atmos, delivering richer sound with improved dialogue clarity and deeper bass. Lenovo has also retained Bluetooth speaker functionality, allowing the tablet to operate as a standalone wireless speaker controlled directly from a smartphone.

The LCD screen is also now larger at 12.1-inch 2.5K with Dolby Vision and HDR10 certification, while the integrated kickstand is now easier to use, with the 360-degree rotating mechanism being the top-requested addition. Additional modes include lean, theater, stand, and hanging configurations. When not actively in use, the tablet can also function as a digital picture frame through its standby mode.

Lenovo Tab Plus Gen 2 tablet to launch in Malaysia in September from RM2,099 2

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A10 Networks Acquires TrojAI to Strengthen Sovereign AI Security for Enterprise Workflows

Networking and cybersecurity leader A10 Networks (NYSE: ATEN) has officially announced the acquisition of TrojAI, an innovative security firm specializing in the protection, testing, and governance of artificial intelligence applications. The strategic move significantly enhances A10's security portfolio, allowing the company to deliver robust "sovereign AI" security solutions. By integrating TrojAI's specialized technology, A10 aims to provide enterprise customers with precise, localized control over how and where their proprietary AI models, corporate data, and autonomous agentic workflows are shielded from emerging digital threats.

“AI is changing both what enterprises build and the attack surface they have to defend, and traditional controls weren’t designed for non-deterministic models and autonomous agents,” said Dhrupad Trivedi, President and Chief Executive Officer of A10 Networks. “TrojAI is a natural fit for A10, strategically and operationally. Pairing our hardware-based AI firewall with TrojAI’s software-based red teaming and runtime protection helps customers adopt AI quickly and confidently, protecting their models, data, and agents without sacrificing the latency or availability they rely on us for, whether on-premises, in the cloud, or hybrid. For customers with strict data-sovereignty requirements, it means embracing AI while keeping their most sensitive assets in environments they control.”

Following the acquisition, A10 expects to integrate TrojAI’s capabilities into its evolving security portfolio, letting customers run secured AI wherever their data resides.

“Enterprises and public-sector organizations are adopting AI at an unprecedented pace, and they need to innovate securely while maintaining sovereignty over their AI security infrastructure,” said Lee Weiner, Chief Executive Officer of TrojAI. “Together with A10, we can secure and govern the models, agents, and applications becoming core to how organizations operate. I’m proud of what our team has built, and excited to bring these capabilities to A10’s customers and channels.”

This acquisition is not a change in direction. It is an acceleration of a strategy we have been building for the past two years which is helping enterprises securely adopt AI technologies as data center architectures evolve and AI systems move into production at scale.

Key Takeaways

• A10 Networks' acquisition of TrojAI accelerates its enterprise AI security roadmap with red teaming, runtime firewall enforcement, and agentic protocol support

• TrojAI's native Model Context Protocol support positions A10 Networks ahead of the market in securing agentic AI workflows

• TrojAI's red-teaming findings feed back into A10's guardrail models in near real time, improving protection against production-scale threats

• The combined portfolio integrates AI security across ADC, DDoS, application, and API, serving Fortune 50 organizations at scale

TrojAI delivers capabilities that directly align with A10’s AI security strategy and materially accelerate our product roadmap. The acquisition of TrojAI directly advances A10’s long-term objective to build a comprehensive enterprise AI security suite. This is not an overlap or consolidation of similar tools. TrojAI adds production-grade AI security infrastructure that helps translate A10’s model intelligence into deployable protections for enterprise workflows. The synergy provides an immediate, low-friction acceleration of our AI security mission: no application instrumentation, no custom architecture work, and no heavy deployment lift.

TrojAI’s customer base includes Fortune 50 organizations, providing strong market validation of both the urgency of AI security challenges and the effectiveness of its solutions. Its platform maturity reflects repeated enterprise feedback cycles, and its team brings AI safety and infrastructure engineering expertise that strengthens A10’s execution capacity.

TrojAI’s strengths in production-grade red teaming, runtime AI firewall enforcement, agentic protocol support, and browser-based endpoint protection significantly expand the speed and scope of what we can deliver to customers.

Further, TrojAI’s native compatibility with the Model Context Protocol positions A10 early in securing agentic AI workflows — an area where enterprise demand is emerging rapidly and where TrojAI is meaningfully ahead of our internal roadmap.

One of the most powerful aspects of this acquisition is the feedback loop it creates. Red-teaming findings from Troj Detect inform model updates and guardrail intelligence improvements in near real time. This continuously trains A10’s AI models against threat vectors observed in production at Fortune 50 scale.

This acquisition expands not only our product capabilities, but also our engineering bandwidth and AI specialization at a critical moment in market evolution. Combined with A10’s proprietary guardrail models and model intelligence, the capabilities expand our enterprise AI security portfolio and strengthen the growth story for customers and investors: faster roadmap execution, and differentiated protection across ADC, DDoS, application, API, and AI security.

A10’s global footprint, operational scale, and deep enterprise relationships provide TrojAI with growth opportunities that would be difficult to achieve independently. The combined portfolio positions A10 distinctly in the market by offering capabilities that pure-play AI security vendors cannot match in terms of networking depth, deployment scale, and platform maturity, while also moving faster and more decisively than larger infrastructure providers that are still early in AI-specific security productization, all while preserving and strengthening A10’s established leadership in ADC, DDoS protection, and application security.

With this acquisition the A10 Networks portfolio is positioned to help customers deliver and secure AI-enabled applications at scale, to secure agentic applications and workflows, ensuring the ongoing operational safety of deployed models. Coupled with our existing infrastructure elements, and leading application and API defense platform, we are positioned to secure the applications of tomorrow, today. Together, we can bring AI security innovation to the world’s largest organizations with the reliability, scalability, and support they expect from A10.

A10 does not expect the acquisition to have a material impact on its financial results for fiscal year 2026. It is squarely positioned to help secure AI buildouts and application rollouts in the next 2-5 years.

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