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VNG GreenNode collaborates with NVIDIA to launch a large-scale AI Cloud infrastructure in Southeast Asia, offering a global AI Cloud platform

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BANGKOK, June 26, 2024 /PRNewswire/ — GreenNode, a business unit of VNG specializing in AI Cloud services and a preferred NVIDIA Cloud Partner (NCP), has officially launched a large-scale AI Data cluster in Bangkok, Thailand. GreenNode aims to become Asia’s leading AI Cloud service provider by supercharging regional AI businesses with high-performance computing (HPC) AI resources.

This facility is one of Southeast Asia’s first AI-ready hyperscale data centers, operated by GreenNode’s Cloud Operation Excellence. Mr. Dennis Ang, Senior Director, Enterprise Business, ASEAN and ANZ Region, NVIDIA, emphasized that to stay ahead in the current wave of GenAI, companies need two essential factors: firstly, AI data centers, and secondly, AI Factories. These are the areas where NVIDIA is closely collaborating with the VNG GreenNode and ST Telemedia Global Data Centres (STT GDC) teams. “Together, we have completed and delivered these two key elements to our customers. Congratulations to VNG GreenNode on their success, and Nvidia eagerly anticipates further collaboration opportunities in the future.”

GreenNode’s AI Cloud cluster in STT Bangkok 1 meets global standards, holding LEED Gold certification[1], TIA-942 Rating-3 DCDV[2], and Uptime Tier III standards. According to GreenNode, the company aims to provide a one-stop solution for all businesses’ AI journeys, deploying an AI infrastructure with a dedicated 20MW capacity and equipping it with the latest InfiniBand network, offering up to 3.2Tbps bandwidth for GreenNode’s servers and unique multi-tenant hyper-scale storage platform, ready to deliver robust AI Cloud services and GPU infrastructure to customers.

During his speech at the ceremony, Mr. Lionel Yeo, CEO – Southeast Asia, ST Telemedia Global Data Centres, said: “Over the next four years, investment in AI will significantly increase, with about 30% coming from the Asia-Pacific region. This area is becoming increasingly dynamic, making collaborations like today’s more meaningful. Congratulations to VNG GreenNode for successfully commercializing AI Cloud in just six months. I believe that together, we will contribute to positioning Asia at the forefront of the global technology wave in the coming years.”

GreenNode’s product portfolio comprises three main groups: Bare Metal GPUs with thousands of H100 Tensor Core GPUs, Machine Learning (ML) Platform, and priority access to NVIDIA AI Factory. GreenNode is a product-focused company that not only delivers infrastructure but also trains advanced AI models & platforms, leveraging its expertise to help startups with their own models. This approach constitutes a unique selling proposition that emphasizes a commitment to GreenNode’s Operation Excellence.

GreenNode is also pioneering in Southeast Asia by building and offering a remote parameter management platform, allowing global customers to flexibly access and scale training parameters with ease, saving time and effort for businesses of all sizes.

“This milestone has yielded positive signals both in technological advancement and business performance, as the concept was swiftly implemented into reality in a short period. This is just the first step, and we are committed to long-term investment to become a leading provider of AI Cloud services in Southeast Asia,” stated VNG Founder and CEO Le Hong Minh.

Recently, GreenNode has secured millions of dollars in deals to provide customers with AI infrastructure and advanced AI solutions worldwide.

“With thousands of powerful GPU chips from Nvidia and STT GDC’s international standard data centers, GreenNode aims to be a one-stop solution provider for global clients. “However, there are many things we need to do, including continued investment in R&D to be an AI Pioneer in the region”, shared Mr. Nguyen Le Thanh, CEO of GreenNode & VNG Digital Business.

At the VNG 2024 Annual Shareholders’ Meeting, Founder and CEO VNG Le Hong Minh emphasized three strategic growth drivers for the company in the coming years: AI, “Go Global” and Platform. VNG stands out as one of the few SEA tech companies rapidly and fully embracing AI, with significant investments in infrastructure, platforms, and applications. VNG aims to be a leading AI service provider in Vietnam and the region.

About GreenNode

GreenNode, a leading Nvidia Cloud Provider in Asia, specializes in AI infrastructure and AI product innovation. Operating a large-scale GPU cloud in Thailand and Vietnam that conforms to Nvidia Reference Architecture, GreenNode is committed to meeting the global demand for AI and ensuring unparalleled service reliability and technological excellence. The company’s rapid expansion in the APAC region is supported by VNG Digital Business, renowned for its robust digital solutions delivered to over 1,000 enterprises.

About VNG

Established in 2004, VNG is a leading digital ecosystem in Vietnam, offering a diverse portfolio of products and services across four main groups: Online Games, Zalo & AI, Fintech, and Digital Business. VNG’s mission is to “Build Technologies and Grow People. From Vietnam to the world.” VNG’s innovations have significantly enhanced users’ global digital interactions. The Company currently employs over 3,600 staff across ten international cities.

[1] issued by the U.S. Green Building Council for energy efficiency and low environmental impact

[2] certified by the American Institute of IT and Communications for operational sustainability and disaster recovery

 

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SOURCE GreenNode.ai

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Raytron Industrial Launches TN660 and TN463 Thermal Cameras for Dynamic Testing and Continuous Condition Monitoring

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YANTAI, China, Oct. 22, 2026 /PRNewswire/ — Raytron Industrial today announced the launch of two new products: the TN660 High Frame Rate Fixed-Mount Thermal Camera and the TN463 Fixed-Mount Thermal Camera. Both offer 640 × 512 imaging with synchronized image and temperature data. The TN660 delivers full-frame 120 Hz acquisition for moving targets and transient thermal processes, while the TN463 provides 60 Hz imaging for routine inline inspection and continuous equipment monitoring.

Full-Resolution Imaging for Different Process Speeds

Featuring a 12 μm uncooled VOx detector, the TN660 achieves 120 Hz at its native resolution without windowing, preserving spatial detail and scene coverage. Frames are approximately 8.33 ms apart, helping engineers examine rapid heating, cooling, and short-duration thermal events in research, industrial automation, and transportation applications.

The TN463 uses the same detector resolution and pixel pitch. Its 60 Hz output supports routine production cycles and long-term temperature trend analysis. To accommodate different installation requirements, the TN463 offers 6.9 mm, 9.1 mm, 19 mm, and 25 mm lenses, while the TN660 is available with 9.1 mm and 25 mm lenses.

From Event-Triggered Capture to Synchronized Analysis

Both cameras support hardware and software triggering to coordinate acquisition with equipment actions. An external signal through the I/O (input/output) interface can initiate capture at a defined process stage. For example, a heat-press start signal can trigger the TN660 to record the thermal sequence, reducing unnecessary recording and review work.

Synchronized output pairs temperature readings with corresponding thermal images. Raytron Industrial’s TI Studio software supports simultaneous preview and analysis of up to four cameras, with temperature and temperature-rise alarms to flag abnormal conditions. Engineers can review recordings, examine and export historical temperature curves, and generate reports, linking equipment events with thermal data for further analysis.

Temperature Measurement and System Integration

Both models measure temperatures from −20°C to 150°C and 100°C to 650°C, with an accuracy of ±2°C or ±2% of the reading, whichever is greater. Ethernet and USB connectivity support data acquisition, while compatibility with industrial protocols such as Modbus TCP allows temperature data to be incorporated into existing control and monitoring systems.

With a choice of 60 Hz and 120 Hz imaging, the TN463 and TN660 allow users to match thermal acquisition to their process requirements, from continuous equipment monitoring to dynamic testing.

For Further Information

Email: sales@raythink-tech.com
Website: https://www.raythink-tech.com/

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4SiGHT Supply Chain Group Welcomes Joanne Strong as Senior Vice President, Delivery Excellence and Innovation

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Industry-recognized WMS leader and AI-driven delivery innovator joins 4SiGHT to lead delivery as one of North America’s largest dedicated Manhattan Active® implementation partners accelerates its growth

WAYNE, N.J., Oct. 22, 2026 /PRNewswire-PRWeb/ — 4SiGHT Supply Chain Group, one of North America’s largest dedicated Manhattan Associates implementation partners, today announced the appointment of Joanne Strong as Senior Vice President of Delivery Excellence and Innovation. Strong joins the executive leadership team and will lead all client delivery across the firm.

4SiGHT has built something rare in its 18 years of operations: deep Manhattan expertise, exceptional talent, industry reputation, singular focus on Manhattan Associates, and a culture that puts client success at the center of everything it does.

The appointment comes during a year of rapid growth for 4SiGHT. Now in its 18th year, the firm has grown to more than 70 full-time associates in 2026 and continues to add Manhattan Active® talent across its warehouse, labor, transportation, and organizational change management practices. Strong’s newly created role is dedicated to ensuring that this growth is matched by an uncompromising standard of quality across every engagement.

“Delivery is our product. Every go-live, every client reference, and every renewal comes down to how well we execute,” said Frank Camean, President and CEO of 4SiGHT. “As 4SiGHT scales, we made a deliberate decision to put a senior executive in charge of one thing: the quality, consistency, and continuous improvement of how we deliver for our clients. Joanne has built and led delivery organizations at real scale, she knows the Manhattan Associates platform from the inside, and she has a proven record of innovation to make implementations faster and more predictable. Joanne is exactly the leader our clients deserve as we enter our next chapter. We are all honored and excited to have her join the team and can’t wait to see what the future brings.”

Strong brings more than a decade of experience with Manhattan Associates and enterprise warehouse management. She most recently served as WMS Practice Lead, directing a multimillion-dollar WMS practice that delivered supply chain transformation programs for Fortune 500 companies in retail, consumer products, and life sciences.

A recognized voice in the supply chain industry, Strong delivered keynote addresses at the 2025 Stratify Executive Forum and at Parcel Forum 2026, has been a featured panelist at MODEX, and has appeared on The New Warehouse and Bloomberg’s Talking Transports podcasts. She holds a B.B.A. in Management Information Systems from the University of Georgia’s Terry College of Business.

“4SiGHT has built something rare in its 18 years of operations: deep Manhattan expertise, exceptional talent, industry reputation, singular focus on Manhattan Associates, and a culture that puts client success at the center of everything it does,” said Strong. “The depth of Manhattan knowledge and real-world implementation experience across the organization is truly unique in the industry. My focus is on elevating an already outstanding client experience by combining that expertise with proven delivery practices, innovative methodologies, implementation accelerators, AI-enabled tools and capabilities. We have an incredible opportunity to help clients achieve faster outcomes, greater confidence in execution, and long-term business value. I’m honored to join the team at such a pivotal moment in its growth and excited for what we will accomplish together.”

About 4SiGHT Supply Chain Group

4SiGHT specializes in supply chain software implementations, with a primary focus on the Manhattan Associates product suite of applications. Our seasoned professionals average more than 19 years of experience helping companies across all industries solve their distribution, fulfillment, and transportation challenges. Together with our strategic partners, our collective team includes more than 100 associates. No other firm in North America brings this depth of Manhattan Active® expertise, and we look forward to expanding our team with additional talent in the months ahead. As a testament to the value our clients place on our expertise, experience, and integrity, 4SiGHT has received multiple industry awards. For more information, please visit 4sight.com or email us at in4mation@4sight.com.

Media Contact

Jenae Cahanes, 4SiGHT Supply Chain Group, 1 9734350025, jenae.cahanes@4sight.com, 4sight.com

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SOURCE 4SiGHT Supply Chain Group

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UL Research Institutes Releases New Report Defining Roadmap for Next-Generation Wildfire Risk Intelligence

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New findings identify critical gaps and opportunities in wildfire risk modeling to strengthen community protection

COLUMBIA, Md., Oct. 22, 2026 /PRNewswire/ — As destructive wildfires increasingly threaten communities across the globe, a new report from UL Research Institutes’ Fire Safety Research Institute examines the strengths and limitations of current wildfire risk models and provides a roadmap for more comprehensive wildfire risk intelligence.

“Wildfire Risk Modeling Evaluation Findings and Community Perspectives” details findings from the 2026 Wildfire Risk Modeling Exercise, a first-of-its-kind collaborative effort that evaluated a diverse set of wildfire risk models using common scenarios and datasets. The exercise included approximately 20 organizations across academia, government, national laboratories, nonprofits, and the private sector.

For fire service leaders, emergency managers, and public safety officials, the report provides a practical framework for evaluating which modeling capabilities are best suited to specific community needs and decisions. Applied effectively, these tools can help practitioners identify where risk is greatest, prioritize mitigation investments, strengthen evacuation and preparedness planning, and make more informed decisions before, during, and after a wildfire.

“The Wildfire Risk Modeling Exercise was a convergent test and evaluation of the diverse models available to characterize wildfire risk today. These results revealed broader insights about the state of the science, prioritized gaps, and the investments needed to advance wildfire risk intelligence,” said Rebecca Harned, principal research scientist for Fire Safety Research Institute and the report’s lead author. “The findings provide a critical foundation for shaping the next decade of research, innovation, and operational capability. This report also serves as an important resource for local and state fire service and public safety agencies, providing an evidence-based framework for selecting wildfire risk modeling capabilities and applying them effectively to assess and manage community risk.”

Key Findings From the Wildfire Risk Modeling Exercise

The results from the exercise demonstrate that no single model can capture the full complexity of wildfire risk, nor should one be expected to. Instead, the report identifies an opportunity to build a new generation of wildfire risk intelligence by connecting complementary models, datasets, and scientific approaches. Doing so can help close critical gaps between modeling wildfire hazard and understanding what ultimately matters to communities — which people, property, and assets are at risk, why they are vulnerable, what the consequences could be, and which actions can most effectively reduce those risks.

To realize that vision, the report recommends building an interoperable modeling ecosystem spanning the full wildfire risk assessment pathway, from ignition and landscape fire spread through structure exposure, community impacts, and economic consequences. It also calls for stronger shared core data and standards, improved transparency and explainability, expanded decision-support tools, and greater use of ensemble modeling. Together, these advances could transform wildfire modeling from a collection of specialized capabilities into an integrated risk intelligence framework that better supports decisions before, during, and after wildfire events.

About the Fire Safety Research Institute

UL Research Institutes’ Fire Safety Research Institute advances fire science and fire safety knowledge to reduce risk, save lives, and protect property. We conduct rigorous research, outreach, and education in collaboration with the fire service, fire safety professionals, policymakers, communities, and an international network of partners. Together, we develop tools, resources, and strategies that improve fire safety outcomes worldwide. To learn more, visit fsri.org. Follow Fire Safety Research Institute on Instagram, Facebook, and LinkedIn.

About UL Research Institutes

UL Research Institutes is a nonprofit research organization dedicated to advancing public safety through scientific discovery. Since 1894, our research has advanced our mission toward a safer, more secure, and sustainable future. Focused on global risks from fire mitigation and air quality to safe energy storage and digital privacy, we conduct rigorous independent research, analyze safety data, and partner with experts to uncover and act on existing and emerging risks to human safety. Discover more at UL.org.

About the Exercise

The 2026 Wildfire Risk Modeling Exercise was designed as an open, collaborative and non-competitive effort. Each model submission was evaluated by multiple reviewers through two complementary evaluation streams: science and technical evaluation and user and practitioner evaluation. Participating organizations applied their models to standardized scenarios representing wildland, wildland-urban interface, and urban environments, with results evaluated by scientific experts and operational practitioners. The exercise was designed not to rank models, but to identify their strengths, limitations, and opportunities for integration.

For more information and to read the full report, visit FSRI.org.

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SOURCE UL Research Institutes

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