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Delta Bridges Energy and Compute for AI Factories Based on NVIDIA DSX™

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From onsite energy to the AI rack, Delta integrates power and cooling infrastructure to speed time to first production and maximize token performance per megawatt.

FREMONT, Calif., Sept. 17, 2026 /PRNewswire/ — Delta Electronics, a global leader in power management and smart green solutions, today announced its development to speed up the deployment of AI factories based on NVIDIA DSX. The NVIDIA DSX AI Factory Platform brings together reference designs, open software, accelerated computing systems, facilities infrastructure and partner technologies in a codesigned platform for AI factory design, deployment and operations. Delta brings the physical infrastructure bridge between energy availability and compute productivity — connecting onsite energy, facility power, row and rack-level power and cooling, as well as chip-level solutions, enabling customers to accelerate token production and ultimately generate higher AI yield from every available megawatt.

“AI factory economics begin with a simple question: how much intelligence can be produced from every available megawatt?” said Austin Tseng, President of Delta Electronics Americas. “The answer depends on more than facility power alone. Power quality, GPU load transients and heat must be engineered together all the way into the rack. Delta and NVIDIA connect those layers — energy, power, cooling and components — allowing AI factory operators to reach time-to-first-token sooner and optimize token output at scale.”

“AI factories must be designed as complete systems, with power, cooling and compute working together,” said Vladimir Troy, vice president of AI infrastructure at NVIDIA. “Delta’s expertise in 800 VDC power delivery and liquid cooling will help customers deploy AI factories based on NVIDIA DSX faster and get more AI performance from every megawatt.”

Engineering Across Energy to the AI Rack

Delta integrates power and thermal management infrastructure across facility gray space and IT space. At the facility level, Delta integrates energy storage systems (ESS), solid-state transformers (SST) and medium-voltage infrastructure to store, convert and distribute the power required by high-density AI workloads. Across the IT space, Delta integrates 800 VDC power delivery with row-to-chip liquid cooling, aligning power flow and heat removal with the dynamic demands of high-density GPU computing. For AI factories based on NVIDIA DSX, this system-level approach helps close integration gaps between facility and IT infrastructure.

Engineering Through the Rack to the Chip

Delta’s 800 VDC power architecture reduces conversion stages between facility power and compute, and delivers up to 98% power conversion efficiency while responding rapidly to GPU load transients. High-density In-Row systems deliver up to 800 kW in a single power rack, while tailored battery and capacitance backup technologies support transient stability. At the board level, Delta’s 800 VDC DC-DC power distribution technology steps down directly to 50 VDC or 12 VDC with peak efficiency up to 98.5%. Coordinating these technologies reduces electrical losses, heat generation, copper requirements and stranded capacity while reclaiming valuable white space for compute.

The same design continuity applies to thermal management. Delta’s portfolio spans 2.4 MW and 3 MW liquid-to-liquid cooling distribution units, In-Rack cooling, and thermal solutions for next-generation AI racks. By coordinating electrical and thermal infrastructure at the facility, row, rack, and component levels, Delta helps power and cooling systems meet the density and operating requirements of AI factories based on NVIDIA DSX.

Prefabrication Accelerates Time to First Production

To accelerate AI factory deployment, Delta applies prefabrication and modular design to physical infrastructure. Delta’s Prefabricated AI Modular Data Center Solution integrates 800 VDC In-Row Power and 3 MW of liquid-cooling capacity into infrastructure blocks assembled and tested in the factory. Moving more integration and validation offsite reduces onsite complexity, streamlines commissioning and supports phased capacity expansion as demand grows.

Delta’s system-level engineering and prefabricated delivery approach connect infrastructure design with execution—making constrained power more usable, accelerating the path to productive GPU capacity and supporting reliable token output at scale.

Watch the video to learn more about Delta’s work supporting NVIDIA AI factory infrastructure and its energy-to-compute solutions.

About Delta Electronics (Americas)

Headquartered in Fremont, CA, Delta Electronics (Americas) is a subsidiary of Delta Electronics, Inc. (TWSE: 2308), a global leader in power management and smart green solutions. We have operated in the Americas for almost 40 years, with offices, R&D centers, manufacturing and service facilities across the U.S., Canada, Mexico, Brazil and more. Our smart, energy-saving solutions serve customers across data centers, IT, telecom, renewable energy and microgrids, EV charging and powertrains, building automation, industrial automation, lighting and other major industries. Please visit: www.deltaww.com | www.delta-americas.com

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SOURCE Delta Electronics (Americas)

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World News Day: 1,000-plus newsrooms in 100-plus countries unite to defend trusted journalism

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TORONTO, Sept. 17, 2026 /PRNewswire/ – On 28 September, more than 1,000 news organizations and support agencies from more than 100 countries will mark World News Day, a global campaign to promote the value of journalism.

This year, news organizations are asked to show what goes into their journalism so that the public can know the facts, understand what matters and choose trusted journalism.

The Canadian Journalism Foundation (CJF) founded World News Day in 2018 with 17 participating organizations. With the addition of WAN-IFRA as a partner a year later, the campaign went global and last year, it reached more than 1,000 publishers across 108 countries and 17 languages. This year’s campaign runs from 25 September to 1 October with 28 September as the focal day, coinciding with the UN International Day for Universal Access to Information.

“News organizations are very good at telling other people’s stories. But we have not always been equally good at telling our own,” says Stig Ørskov, CEO of the World Association of News Publishers, in urging media outlets to join World News Day 2026.

Adds CJF President and Executive Director Natalie Turvey: “When trust in journalism erodes, so does the public’s ability to make sense of the world. World News Day is a chance for more than 1,000 newsrooms to make the case together for fact-based reporting at a time when that case has never been more important.” 

Newsroom closures and shrinking budgets have weakened journalism worldwide, while AI-generated content and disinformation increasingly compete with real reporting for public attention. No single newsroom can address these challenges alone. World News Day brings newsrooms together to make one collective case, and to do something journalism rarely does: explain its own process. For one week, participating outlets are invited to show readers the work behind what they publish, giving the public something concrete whereby to judge trust.

“A society that loses its grip on facts loses its grip on itself,” says Branko Brkic, founder of Project Kontinuum, a global network to secure the news media’s future and co-organizer of World News Day. “A society that fights for truth can still find its way back.

“Alone, any one of us can be dismissed. Together, in dozens of languages and more than 100 countries, we’re harder to ignore. That’s the whole point of doing this on the same day. It is not a fundraiser. It is a rallying point.”

World News Day is organized jointly by the World Editors Forum, the Canadian Journalism Foundation and Project Kontinuum.

Newsrooms can register at https://wan-ifra.my.salesforce-sites.com/onlineregistration?regid=a1PW7000004FkLBMA. From 1 September, all who register gain access to campaign materials, including a collection of op-eds from leading journalists, translated campaign assets in 20+ languages, social media graphics and copy for the campaign week, print and digital ads, and cartoons and video, all built around the campaign message:

“Know the facts. Understand what matters. Choose trusted journalism. Because it’s your right to know.” 

Members of the public are invited to follow the campaign at [worldnewsday.org] and on social media using #WorldNewsDay #WND26 #ChooseTrustedJournalism #YourRightToKnow.

About World News Day
World News Day is a global campaign built around fact-based journalism. It is organized jointly by WAN-IFRA’s World Editors Forum, the Canadian Journalism Foundation and Project Kontinuum.

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SOURCE The Canadian Journalism Foundation

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NeuralTrust Named a Pioneer in Gartner EMQ for AI Application Security

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NeuralTrust is the best-positioned European platform recognised in the Pioneer quadrant of Gartner’s first-ever research framework dedicated to AI Application Security.

NEW YORK, Sept. 17, 2026 /PRNewswire/ — NeuralTrust is the leading platform for securing and scaling AI agents, providing runtime protection, agent posture management, automated red teaming, and gateway-level enforcement to help enterprises deploy AI systems securely and at scale.

NeuralTrust today announced it has been named a Pioneer in the Gartner Emerging Market Quadrant for AI Application Security, Gartner’s first dedicated research framework evaluating vendors in this category. NeuralTrust is the best-positioned European-headquartered company recognized in the quadrant, reinforcing its position as the leading AI security platform built for the era of autonomous agents.

The Gartner Emerging Market Quadrant differs from the established Gartner Magic Quadrant in that it evaluates markets still in formation, where vendor differentiation comes from architectural innovation rather than scale alone. Pioneer status recognizes vendors that show architecturally advanced approaches to AI security, with coverage across the full lifecycle of agentic applications, from discovery and posture management to automated testing and real-time runtime defense.

“Being named a Pioneer in Gartner’s first AI Application Security quadrant validates what we have been building since day one,” said Joan Vendrell, Co-Founder and CEO of NeuralTrust. “AI applications and autonomous agents introduce a fundamentally different risk surface, one that traditional security tools were never designed to address. We built NeuralTrust to be the security layer that sits between enterprise AI and the threats that target it, and this recognition reflects the depth and breadth of what we have shipped.”

The report reflects several shifts now shaping the AI Application Security category:

A market distinct from traditional AppSec. AI Application Security protects AI-powered applications, large language models, and autonomous agents against threats that do not exist in traditional software security, including prompt injection, data exfiltration, and model manipulation.Full lifecycle coverage as the standard. Gartner identifies three core capabilities defining the market: automated discovery and inventory of AI applications, automated AI security testing, and AI runtime defense that monitors inputs and outputs in real time.A closed-loop architecture. Pioneers combine posture management, adversarial testing, and runtime defense in a single platform rather than as disconnected point solutions.

NeuralTrust is headquartered in Barcelona and operates offices in London and New York, making it the best-positioned European-headquartered platform in the quadrant. The company opened its London office in September 2026 to support a growing base of financial services, technology, and enterprise clients across the UK.

“European enterprises face the same urgency as their counterparts in the United States when it comes to AI agent security, and they carry additional compliance obligations that platforms built outside the EU were never designed to address,” said Cameron Brown, UK Managing Director at NeuralTrust. “Being the only European Pioneer in Gartner’s first AI Application Security quadrant is a clear signal that the region now has a platform purpose-built for its security and regulatory needs.”

The Emerging Market Quadrant Pioneer designation adds to a year of Gartner recognition for NeuralTrust, which has also been named a Sample Vendor in the Gartner Hype Cycle for Application Security 2026, the Gartner Hype Cycle for AI Governance Technologies 2026, the Gartner Hype Cycle for Infrastructure Security 2026, and the Gartner Hype Cycle for Data Security 2026. The company has also been included in the Gartner Market Guide for AI Gateways and the Gartner Market Guide for Guardian Agents.

NeuralTrust remains committed to giving enterprises a single platform, TrustGate, TrustGuard, TrustLens, and TrustTest, to discover, test, and defend AI agents across their full lifecycle.

Gartner members can access the full report here.

About NeuralTrust

NeuralTrust is the leading platform for securing and scaling AI Agents. Recognized by Gartner, its platform helps enterprises identify, secure, and govern all the AI agents running in the company. Clients span from global banks and airlines to energy companies and government agencies. NeuralTrust’s mission is to make AI adoption measurable, governable, and safe, turning AI security into a strategic advantage.

Learn more at neuraltrust.ai 

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SOURCE NeuralTrust

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Stonly Launches Business Process Agents to Automate Complex Customer Service Processes

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New AI agents follow the same knowledge, rules, and workflows that support teams already use, without rebuilding SOPs as siloed knowledge for AI

NEW YORK, Sept. 17, 2026 /PRNewswire/ — Stonly, the knowledge platform for customer service in the AI era, today announced the launch of Business Process Agents (BPAs), AI agents that automate customer service processes end-to-end by following the same knowledge and SOPs human support teams use.

Business Process Agents go beyond AI that simply answers questions. They follow structured Stonly Guides that define the steps, decision logic, rules, required information, and actions behind a support process. That means the same process can be followed by a human agent, used to guide a customer through self-service, or executed autonomously by AI.

The result is AI that can automate the complex, high-value support issues where the right resolution depends on the customer, the situation, company policy, and what happens at each step.

As customer service organizations push for greater automation, simple questions have become increasingly easy for AI to answer. The harder problem is everything that comes next: troubleshooting, eligibility decisions, account changes, policy workflows, escalations, and the countless “it depends” situations that make up real support operations.

Today, teams trying to automate those processes typically translate them into prompts, agent instructions, retrieval rules, workflow logic, and other AI configuration. Over time, they end up maintaining one version of the process for people and another for AI.

With Business Process Agents, AI can follow the same support knowledge, SOPs, rules, and workflows the team already uses.

“AI has gotten very good at answering questions, but customer service is not just a collection of questions and answers,” said Alexis Fogel, Founder and CEO of Stonly. “The most important support work follows processes: check this, ask that, apply this rule, take an action, and make a different decision depending on what happens. Business Process Agents let AI follow the actual process instead of requiring teams to recreate it separately for AI.”

What Business Process Agents Do

Execute Complex Support Processes

Business Process Agents follow Stonly Guides step by step, including branches, decision logic, required checks, customer information, policies, and actions. They can ask for information, determine what happens next, take action through connected systems, and continue through the process until the issue is resolved or human judgment is required.

That makes it possible to automate processes that cannot be handled reliably with a single answer or simple prompt, including troubleshooting, eligibility, intake, account changes, policy-driven workflows, and other complex “it depends” cases.

Use the Same Process as the Support Team

Business Process Agents run on the same Stonly knowledge and workflows used by human agents. Teams do not need to maintain separate documentation and logic for people and AI.

When the process changes, the team updates the Guide. The new process is immediately available wherever it is used.

Work Autonomously or With Human Agents

Business Process Agents can resolve customer issues directly or work alongside human agents. A BPA can complete an entire process autonomously, handle part of a process and ask an agent to approve an important decision, or collect information and complete procedural work before handing the case to a person with the context and next step ready.

This allows teams to automate as much of each process as makes sense without forcing every support interaction into either fully manual or fully autonomous service.

Make Advanced AI Easier to Build and Maintain

Business Process Agents are created from human-readable Stonly Guides that support, operations, and knowledge teams can understand and manage.

Teams define the process once and use it for people and AI. New BPAs can be created from processes the organization already knows how to run, and changes can be made directly to the underlying process instead of being recreated across separate systems.

Why Business Process Agents Matter Now

Customer service organizations are under pressure to use AI for more than answering simple questions. They need AI to reduce the cost of service by resolving the complex issues that consume meaningful agent time.

But complexity has been the ceiling on automation.

The more important a support process becomes, the more likely it is to depend on detailed procedures, exceptions, business rules, customer context, and actions across multiple systems. Human teams already have SOPs to manage that complexity. Recreating the same logic separately for AI creates another version that has to be built, tested, governed, and maintained.

Business Process Agents remove that duplication.

Instead of creating one process for people and another for AI, companies can have AI run the processes they already use. People and AI share the same source of truth, changes only need to be made once, and automation can extend to processes that were previously too complicated or too risky to hand over to AI.

“Without Stonly, teams end up recreating the same processes for AI that their support teams already know how to follow,” Fogel explained. “The opportunity is much bigger than making prompts better. It is giving AI the ability to follow the same processes the business already trusts its people to follow.”

Availability

Stonly Business Process Agents are [available today / entering beta with select customers today]. Business Process Agents can be deployed directly to customers or used alongside human agents.

For more information, visit stonly.com.

About Stonly, Inc.

Stonly is the knowledge platform for customer service in the AI era. It helps support teams create, govern, and deliver accurate, structured knowledge for customers, support reps and AI, and turn that knowledge into processes that people and AI can follow. Stonly makes self-service, agent guidance, and AI more reliable and scalable. Backed by top venture capital firms Northzone and Accel, Stonly serves complex support environments at companies. Stonly is HIPAA, GDPR, and SOC 2 Type 2 compliant. Learn more at stonly.com.

Press Contact:

Trilby Lawless
6464504044
stonly.com

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SOURCE Stonly, Inc.

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