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Deloitte Announces Collaboration With Hewlett Packard Enterprise and NVIDIA on Co-Developed Generative AI Solutions

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First use case with Deloitte of ‘NVIDIA AI Computing by HPE’ product portfolio aims to help manufacturers at all stages of digital maturity build and operate secure-by-design manufacturing simulations to unlock industrial digitalization

NEW YORK, June 18, 2024 /PRNewswire/ — HPE Discover 2024 – Deloitte today announced a collaboration that brings together Deloitte’s deep industry knowledge, AI and technology capabilities with the newly revealed NVIDIA AI Computing by Hewlett Packard Enterprise (HPE) solution portfolio. Announced today at HPE Discover, the solution portfolio features HPE Private Cloud AI, a turnkey full-stack private cloud co-developed by HPE and NVIDIA, which will help Deloitte’s clients accelerate time to value through the co-development of industry-focused Generative AI applications and use cases. This collaboration is part of Deloitte’s IndustryAdvantage commitment to co-investing and innovating with alliances to target industry- and sector-specific problems and help drive impactful transformation for its clients.

“Amid a marketplace moving at breakneck speed, Generative AI can unlock game-changing insights and enormous business value — but its success requires an agile approach that targets business transformation through an industry-specific lens and is rooted in data modernization,” said Jim Rowan, AI market activation leader and principal, Deloitte Consulting LLP. “As leaders seek high-performing enterprise AI and data solutions that tackle their most critical business challenges, our collaboration with HPE and NVIDIA marks a natural next step in our commitment to bringing our clients actionable insights backed by the power of HPE technology and NVIDIA full-stack accelerated computing.”

Accelerating manufacturing simulations
Deloitte’s first industry-specific use case through this collaboration is a digital twin application built on the NVIDIA Omniverse platform and HPE GreenLake. This application is delivered on the latest portfolio of accelerated computing from the NVIDIA AI Computing by HPE portfolio. It utilizes Deloitte’s rapid use case development methodology and accelerators to help manufacturing organizations at all stages of digital maturity extract and manage the data needed to pioneer, engineer and deploy manufacturing simulations. For example, organizations can incorporate new, previously undiscovered data to simulate outcomes, test the efficiency of new greenfield facility designs, predict potential issues, develop and test new products or differing chemical makeups and much more. 

“We’re seeing that manufacturers are prioritizing the improvement of their data extraction capabilities in order to run future-looking simulations that de-risk decision-making to contend with today’s complex ecosystems,” said Tim Gaus, principal and Smart Manufacturing business leader, with Deloitte Consulting LLP. “Our collaboration with HPE and NVIDIA helps break down common barriers in developing AI-focused solutions, particularly in managing vast amounts of industrial data from a variety of sources, and brings critical information to the edge. In addition, as organizations continue the shift to software defined manufacturing, this collaboration can help manufacturers integrate siloed systems to improve decision-making, security, safety, outcome prediction and much more.”

Companies can see the benefits brought to life at The Smart Factory by Deloitte @ Wichita, Deloitte’s first-of-its-kind client experience center with an ecosystem of 18 world-renowned solution providers and futurists, which serves as a proving ground for organizations to experience the impact of Industry 4.0. In addition, organizations can experience spatial computing and digital twin offerings from Deloitte’s Unlimited Reality practice, which helps manufacturers deploy industrial digitalization applications and drive the next wave of digital transformation, with a particular emphasis on enterprise 3D simulation, powered by NVIDIA Omniverse core technologies.

Accelerating AI adoption
In addition to the initial manufacturing simulation use case, the collaboration will produce additional industry-specific use cases that leverage HPE Private Cloud AI’s full-stack capabilities for Generative AI, also built on NVIDIA accelerated computing technology and NVIDIA AI Enterprise software.

This announcement sees Deloitte and HPE join forces once again to accelerate digital transformation for the enterprise. With over 25 years of shared history, Deloitte and HPE’s ongoing alliance has directly led to future-ready solutions across hybrid cloud, edge computing, and industrial Internet of Things (IoT).

“The expanded collaboration with Deloitte, NVIDIA and HPE to deliver industry-focused AI solutions will accelerate time to value with AI,” said Marc Waters, senior vice president, Customer Success, Services & Solutions, HPE. “The co-developed AI solutions will simplify the AI lifecycle and enable enterprises to accelerate the development of AI use cases that will deliver clear business value.”

This is the latest announcement stemming from Deloitte’s longstanding work with NVIDIA. Deloitte has collaborated with NVIDIA to enable AI business solutions powered by the full stack of NVIDIA hardware and software. Earlier this year, Deloitte was selected as the NVIDIA Partner Network (NPN) Global Consulting Partner of the Year, which honors leading enterprises for driving forward NVIDIA-powered solutions to help customers navigate the complexity of the AI lifecycle.

“Generative AI is transforming every industry, and businesses are seeking full-stack infrastructure and software to give them a fast path to adoption,” said Alvin DaCosta, vice president of the NPN Consulting Organization at NVIDIA. “The combination of the most advanced NVIDIA and HPE computing, software and services with Deloitte’s industry expertise helps enterprises accelerate their generative AI deployments.”

About Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance. For more information, visit: www.hpe.com.

About Deloitte
Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 8,500 U.S.-based private companies. At Deloitte, we strive to live our purpose of making an impact that matters by creating trust and confidence in a more equitable society. We leverage our unique blend of business acumen, command of technology, and strategic technology alliances to advise our clients across industries as they build their future. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them. Bringing more than 175 years of service, our network of member firms spans more than 150 countries and territories. Learn how Deloitte’s approximately 457,000 people worldwide connect for impact at www.deloitte.com.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.

 

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SOURCE Deloitte

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Yiren Digital Accelerates Operating Efficiency Through AI Agent Deployment

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Broader AI adoption improves productivity across asset recovery and enterprise operations

BEIJING, July 23, 2026 /PRNewswire/ — Yiren Digital Ltd. (NYSE: YRD) (“Yiren Digital” or the “Company”), a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets, today announced measurable operating efficiency improvements as it continues to deploy AI agents across core enterprise workflows. Broader AI adoption is reducing manual intervention, increasing workforce productivity and creating greater operating leverage by automating high-volume processes across multiple business functions.

These deployments are a key component of Yiren Digital’s “All-in-AI” strategy and its broader transition from AI-assisted productivity toward agent-driven execution. By embedding AI agents into core workflows, the Company is creating reusable operating capabilities that can be deployed across its businesses, supporting greater efficiency and reducing the cost of extending automation into new functions.

“Our objective is not simply to automate individual tasks, but to fundamentally improve how work is performed across the enterprise,” said Mr. Ning Tang, Chairman and Chief Executive Officer of Yiren Digital. “As AI agents take on more of our high-volume, demanding workflows, the productivity gains are becoming a structural part of how we run the business, not a one-time efficiency project. We will continue to deepen AI integration across our existing businesses while extending reusable capabilities into additional verticals.”

The AI deployments are supported by the Company’s proprietary enterprise AI architecture, including MagiCube 2.0, its upgraded multi-agent platform. The platform provides common infrastructure for agents deployed across marketing, customer service, capital operations, risk management, compliance and research and development, with more than 10 reusable foundational capabilities, supporting enterprise-wide execution.

Measurable Operating Impact

Lower manual intervention: The human handling rate in asset-recovery operations decreased from 45.0% to 24.9%, representing a 20.1-percentage-point decline, an approximately 44.6% relative reduction in manual intervention.

Higher staff productivity: The number of service tickets handled per asset-recovery staff member within the applicable Month 1 workflow increased from 358 to 525, an improvement of approximately 47%.

Expanded agent adoption: AI agents accounted for 81% of service tickets within eligible Day 1 asset-recovery workflows in 2025, up from 50% in 2024. The Company also deployed AI agents selectively in later-stage workflows, accounting for 20% of eligible service tickets at Day 4, 14% at Day 16 and 20% at Month 2. Each percentage is calculated separately for the relevant stage and should not be interpreted as a sequential adoption trend.

Enterprise-wide reuse: MagiCube 2.0 supports agent deployment across six enterprise functions, allowing the Company to apply common AI capabilities to a broader range of regulated and high-volume workflows.

Enterprise-scale AI execution: The Fengchao AI voice agent processes approximately 1,500 hours of real-time speech-to-text activity each day. The LingShu intelligent marketing platform executes more than 1,700 tasks daily and generates individualized communication content in an average of 0.6 seconds.

Building Enterprise Operating Leverage Through AI

As AI deployment expands across the enterprise, Yiren Digital is increasingly shifting repetitive, high-volume tasks from human-assisted processes toward agent-driven execution. By combining AI agents with centralized orchestration and governance, the Company is improving operating consistency, strengthening workforce productivity and creating reusable capabilities that increase operating leverage as AI is deployed across additional business functions.

Yiren Digital plans to continue expanding agent-driven workflows across its credit and insurance operations, as part of its ongoing All-in-AI strategy, while strengthening the shared architecture and governance that support enterprise-wide AI deployment. These capabilities are designed to scale across multiple use cases and provide a foundation for the Company’s broader expansion into AI application-layer opportunities, including AI entertainment and AI-assisted language learning.

About Yiren Digital

Yiren Digital Ltd. is a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets. The Company leverages advanced artificial intelligence and emerging technologies to enhance customer experience, optimize capital efficiency, and expand financial inclusion. Following the regulatory filing of its in-house developed Large Language Model Zhiyu, and the significant enhancement of its MagiCube Agent platform, Yiren Digital is establishing a new growth engine to accelerate its evolution into an AI-native, multi-industry operating platform extending beyond traditional financial services. For more information, please visit https://ir.yiren.com.

Safe Harbor Statement

This press release contains forward-looking statements. These statements are made under the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “aim,” “anticipate,” “believe,” “estimate,” “expect,” “hope,” “going forward,” “intend,” “ought to,” “plan,” “project,” “potential,” “seek,” “may,” “might,” “can,” “could,” “will,” “would,” “shall,” “should,” “is likely to” and the negative form of these words and other similar expressions. This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” “target,” “confident,” and similar expressions. Forward-looking statements are based on management’s current expectations, assumptions, and assessments of current market and operating conditions. These statements involve inherent risks, uncertainties, and other factors, many of which are outside the control of the Company, and which could cause actual results to differ materially from those expressed or implied in such statements. Actual results may differ materially from those expressed or implied in forward-looking statements due to a variety of factors and other risks described in the Company’s filings with the U.S. Securities and Exchange Commission. All forward-looking statements speak only as of the date of this press release. The Company undertakes no, and expressly disclaims any, obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required under applicable law.

View original content:https://www.prnewswire.com/news-releases/yiren-digital-accelerates-operating-efficiency-through-ai-agent-deployment-302833201.html

SOURCE Yiren Digital Ltd.

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Infinium Edge Launches EdgeSites™, a New Infrastructure Model for Deploying AI Compute at Existing Commercial and Industrial Facilities

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EdgeSites delivers operational AI infrastructure in existing powered buildings — factory-built data center modules, waterless cooling, and ready in months without new construction or grid interconnection required.

SACRAMENTO, Calif., July 23, 2026 /PRNewswire/ — Infinium Edge™ today announced Infinium EdgeSites™, a development program that utilizes existing commercial and industrial facilities to deploy operational AI compute infrastructure. Built around Infinium Edge’s proprietary Edge Thermal Vectoring™ immersion cooling platform, EdgeSites enables high-density GPU deployments in existing buildings that were never designed as data centers — without new construction, without cooling water infrastructure, and without the multi-year grid interconnection timelines that constrain conventional large-scale data center development.

More than 20 million commercial and industrial electricity customers in the US are served by electrical infrastructure sized to peak demand – which industry research shows are utilized at only 40-60% on average. That unused headroom, capacity already contracted, energized, and sitting behind the meter, can support high-density AI compute without adding new load to the grid or waiting on a new interconnection.

At the center of the program is the Vector ONE™ — Edge’s factory-built, self-contained immersion cooling system designed to house 1 MW of AI compute capacity. Vector ONE units are engineered for deployment in standard commercial and industrial buildings, either indoors or outdoors, arriving pre-integrated, fully commissioned and require no municipal water connection. Installations are modular and scalable: additional units can be commissioned as site power and demand allow, without rebuilding the underlying infrastructure and occupy up to 70% less floor space than air-cooled equivalents.

Built for the Shift to Inference

As inference moves to displace training as the dominant AI workload, the growth opportunity is shifting towards small, distributed data centers that can be deployed quickly and sited where demand originates. Conventional data center developments are under compounding pressure from long utility interconnection queues, sometimes lasting years, pressure around water use, and general community and regulatory opposition enacting restrictions. Community opposition and regulatory friction delayed or blocked an estimated $156 billion in planned U.S. data center capacity in 2025 alone.

EdgeSites is purpose-built for the structural shift to inference and addresses key issues stalling conventional data center developments today. Each Vector ONE unit delivers 1 MW of inference-ready capacity inside an existing building, in a market that already has established electrical infrastructure, in a timeline measured in months rather than years. Multiple units can be used in tandem to deploy up to 10 MW of capacity at a single site.  The program converts the distributed inventory of underutilized industrial or commercial electrical capacity in the United States into a nationally scaled inference network. Vector ONE’s dry-cooler loop consumes no municipal water, making EdgeSites viable in markets where evaporative cooling has been restricted or banned.

“The data center industry has been answering an infrastructure shortage with a construction playbook — build new facilities, secure new grid connections, wait years for capacity to come online,” said Robert Schuetzle, CEO of Infinium. “That model cannot keep pace with AI deployment timelines. Infinium EdgeSites operate around different premises: the power already exists, the buildings already exist, and the technology now exists to put them to work. We are making operational what the industry has been treating as stranded.”

Deploying EdgeSites

As demand for AI compute continues to outpace available infrastructure and focuses on distributed inference needs, Infinium Edge is expanding the EdgeSites network with qualified host locations and compute partners.

Commercial and industrial property owners of industrial sites, distribution centers, warehouses, or large commercial properties with available electrical capacity benefit from receiving lease income from infrastructure they already own or control. Infinium Edge manages all aspects of site development and operations for installing and deploying the Vector ONE system. No capital investment or operational responsibility is required from the host.

AI companies, enterprises, and compute operators requiring infrastructure on compressed deployment timelines can access high-density, edge-proximate GPU capacity through a straightforward capacity agreement, priced by the kilowatt-month, with backup power included in the capacity fee. There is no construction to manage, no permitting process to navigate, and no cooling infrastructure to operate or maintain.

Infinium Edge manages the full program from development and installation to operation and monitoring— simplifying development and data center management for AI companies and enterprises.

Reach out to learn more and partner in EdgeSites deployments.

Inquiries: www.infinium.ai/edgesites

About Infinium Edge™
Infinium Edge™ is the advanced AI data center infrastructure platform from Infinium, delivering high-density, sustainable compute through proprietary single-phase immersion cooling technology. Infinium Edge is the only North American producer of Fischer-Tropsch immersion fluids and offers a full-stack platform — including Edge Thermal Vectoring™ platform, Vector ONE™ modular AI Factory units, ETV100 immersion fluids, and integrated monitoring systems — engineered for the thermal and operational demands of AI and high-performance computing at scale. For more information, visit www.infinium.ai.

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SOURCE Infinium

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ChipMOS SCHEDULES SECOND QUARTER 2026 FINANCIAL RESULTS SEMIANNUAL CONFERENCE CALL

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HSINCHU, July 23, 2026 /PRNewswire-FirstCall/ — ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS), an industry leading provider of outsourced semiconductor assembly and test services (“OSAT”), today announced that it will report second quarter 2026 results and host a semiannual conference call after the close of trading on the Taiwan Stock Exchange on Tuesday, August 11, 2026.

Investors and analysts are encouraged to participate in the semiannual conference call using the dial-in phone number noted below. A webcast and replay will be available on the Company’s website.

Date: Tuesday, August 11, 2026
Time: 3:00PM Taiwan (3:00AM New York)
Dial-In: +886-2-3396 1191
Password: 1637011 #

Semiannual Conference Call Webcast and Replay: https://www.chipmos.com/chinese/ir/info2.aspx
Replay: Starts Approximately 2 hours after the live call ends

Language: Mandarin

Note: A transcript will be provided on the Company’s website in English following the semiannual conference call to help ensure transparency, and to facilitate a better understanding of the Company’s financial results and operating environment.

About ChipMOS TECHNOLOGIES INC.:
ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS) (www.chipmos.com) is an industry leading provider of outsourced semiconductor assembly and test services. With advanced facilities in Hsinchu Science Park, Hsinchu Industrial Park and Southern Taiwan Science Park in Taiwan, ChipMOS is known for its track record of excellence and history of innovation. The Company provides end-to-end assembly and test services to leading fabless semiconductor companies, integrated device manufacturers and independent semiconductor foundries serving virtually all end markets worldwide.

Forward-Looking Statements:
This press release may contain certain forward-looking statements. These forward-looking statements may be identified by words such as ‘believes,’ ‘expects,’ ‘anticipates,’ ‘projects,’ ‘intends,’ ‘should,’ ‘seeks,’ ‘estimates,’ ‘future’ or similar expressions or by discussion of, among other things, strategies, goals, plans or intentions. These statements may include financial projections and estimates and their underlying assumptions, statements regarding current macroeconomic conditions, including the impacts of high inflation, foreign exchange rates and risk of recession, on demand for our products, consumer confidence and financial markets generally; changes in trade regulations, policies, and agreements and the imposition of tariffs that affect our products or operations, including potential new tariffs that may be imposed and our ability to mitigate with respect to future operations, products and services, and statements regarding future performance. Actual results may differ materially in the future from those reflected in forward-looking statements contained in this document, based on a number of important factors and risks, which are more specifically identified in the Company’s most recent U.S. Securities and Exchange Commission (the “SEC”) filings. Further information regarding these risks, uncertainties and other factors are included in the Company’s most recent Annual Report on Form 20-F filed with the SEC and in its other filings with the SEC.

Contacts:

In Taiwan

Jesse Huang

ChipMOS TECHNOLOGIES INC.

+886-6-5052388 ext. 7715

IR@chipmos.com

In the U.S.

David Pasquale

Global IR Partners

+1-914-337-8801

dpasquale@globalirpartners.com

 

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SOURCE ChipMOS TECHNOLOGIES INC.

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