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AIDIMM™ & AILPBGA™ Make Global Debut | Longsys Spotlights Full-Stack Edge AI Storage Solutions at COMPUTEX 2026

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TAIPEI, June 4, 2026 /PRNewswire/ — From June 2 to 5, 2026, COMPUTEX 2026 in Taipei runs under the theme “AI Together,” focusing on AI computing and next-gen technologies. Longsys (301308.SZ), under its own theme “Edge AI Storage • Integrated Implementation,” showcases its full-stack edge AI storage portfolio and multi-scenario integrated application solutions. Together with its globally recognized high-end consumer brand Lexar, Longsys demonstrates a comprehensive range of innovative edge AI storage hardware and software designed to optimize local LLM performance and accelerate collaboration across the global AI hardware ecosystem.

Global Launch: AIDIMM™ & AILPBGA™ Custom-Built Memory for Edge AI Inference

At the show, Longsys highlights two dedicated memory products purpose-built for edge AI inference, precisely tailored to meet the deployment needs of AI models across various scenarios.

AIDIMM™: Single-Module Memory Enables Stable 70B+ Edge LLM Operation
Optimized specifically for intensive AI computing, AIDIMM™ delivers up to 128GB capacity, a native 256-bit bus, and industry-leading 307.2GB/s single-channel bandwidth in a compact form factor. It resolves common pain points of today’s AI agent hosts—including insufficient memory, compute bottlenecks causing stuttering, thermal throttling, and costly upgrades. The module features a single-sided layout with four LPDDR5x chips, simplifying PCB routing, along with high-density, high-pin-count connectors that are natively compatible with mainstream AI agent host motherboards. This allows customers to upgrade without extensive hardware redesign, significantly reducing system costs.

Under demanding conditions such as real-time LLM inference, frequent AI agent computation, and multi-task concurrent interactions, AIDIMM™’s ultra-high bandwidth slashes data transmission latency, reduces idle compute cycles and prevents laggy responses. A single module reliably and smoothly runs edge LLMs with over 70 billion parameters. Its efficient integrated thermal design maintains stable temperatures and avoids performance throttling even in densely packed AI agent host deployments.

Supporting dynamic voltage regulation from 0.9V to 1.05V and featuring proprietary FDVFS intelligent power tuning, AIDIMM™ dynamically adjusts voltage and operating states based on varying AI workloads to deliver fine-grained power management. This superior energy efficiency reduces overall heat output, providing AI PCs and AI agent hosts with a high-performance, low-power, easy-to-upgrade memory solution that unlocks full edge AI compute potential. It also enables more power-efficient and stable long-term mass deployment.

AILPBGA™: High-bandwidth memory chip with native LPDDR compatibility for compact embedded AI inference
Developed specifically for space-constrained embedded edge AI inference environments, AILPBGA™ centers around three core advantages: outstanding cost-effectiveness, broad compatibility, and ultra-low power consumption. Built on Longsys’s proprietary architecture, the chip features a native 256-bit bus delivering up to 307GB/s bandwidth and configurable capacity from 24GB to 64GB, with full native LPDDR interface compatibility. Housed in a compact 22×22mm package with high integration density, AILPBGA™ fits seamlessly into space-limited embedded terminals for AI inference and lightweight to mid-sized LLM deployment.

Compared to cloud AI high-bandwidth memory, AILPBGA™ strikes a balance between cost and power consumption, delivering superior cost-efficiency for edge AI inference and helping customers reduce costs while improving performance. Versus standard LPDDR5x solutions, it offers multiple times the bus width, performance, and capacity while remaining compatible with existing LPDDR platforms—enabling simple PCB routing and eliminating the need for SoC or system architecture redesign. This significantly shortens development cycles and lowers adaptation costs.

Its low-power architecture cuts terminal power draw to extend operational runtime for embedded inference and edge LLM hardware, reduces internal heat generation and simplifies internal thermal component layout for compact devices, mitigating hardware failure risks stemming from overheating. Over large-scale commercial deployments, the chip’s energy-saving properties further lower long-term operational and maintenance costs for end users.

Hardware-Software Storage Integration for Edge AI Compute-Storage Applications

Longsys also demonstrates its vertically integrated hardware-software storage stack engineered to streamline on-device LLM operation across diversified edge scenarios.

SPU™ + iSA™ for AI agent edge deployments
In AI agent edge scenarios, HLCache™ technology is deeply integrated into Longsys’s proprietary SPU™ (Storage Processing Unit), effectively reducing terminal DRAM usage and hardware costs. Serving as the brain of SPU™, the self-developed iSA™ (Intelligence Storage Agent) is a professional scheduling engine for edge AI inference. Targeting the pain points of MoE LLMs—large parameter counts, rapid KV Cache expansion, and I/O latency that hampers inference efficiency—it leverages expert offloading, intelligent cache management, and predictive prefetch algorithms to efficiently resolve storage scheduling challenges and comprehensively improve local AI inference smoothness.

A live on-site demonstration using an AI agent host powered by the AMD Ryzen AI Max+ 395 processor validated these gains: with 128GB of DRAM, a massive 397B-parameter LLM was deployed locally; with 64GB of DRAM, mid- to large-scale 80B and 122B LLMs ran smoothly with optimized long-context support. The solution effectively reduces the high memory requirements of edge AI, significantly improving runtime efficiency and cost-effectiveness.

HLCache™-enabled UFS: Accelerated AI performance for mobile edge terminals
For mobile edge AI applications, Longsys introduced UFS products integrated with HLCache™ technology, which significantly improve DRAM scheduling efficiency. Live comparative demonstrations using smartphones with different DRAM capacities clearly validated the enhancement in mobile edge AI interaction speed, enabling mobile terminals to smoothly run lightweight 13B and 20B AI models. This solution delivers a smooth experience comparable to that of devices with much larger DRAM while using lower-spec memory, effectively reducing DRAM usage in terminals. It ensures smooth operation, extends hardware lifespan, and optimizes overall device BOM costs.

Looking ahead, the two combinations—SPU™+iSA™+AIDIMM™ for AI agent edge AI storage, and UFS+HLCache™+AILPBGA™ for mobile edge AI storage—are expected to achieve unified compute-storage-acceleration synergy, better adapting to the loading, inference, and operational needs of complex local LLMs on edge devices.

High-Speed mSSD Storage Media with Integrated Thermal Management for Storage Applications

Longsys showcases its full lineup of PCIe Gen4 and Gen5 high-speed mSSD products with real-time on-site performance benchmarking. Manufactured via advanced wafer-level SiP system-in-package technology, each mSSD integrates storage controller, NAND flash and PMIC into a single compact die for robust chip-grade reliability and flexible form-factor customization into M.2 SSDs, portable PSSDs and specialized AI memory cards catering to diverse terminal design specifications.

The PCIe Gen5 mSSD variant features a compact 20×30mm footprint compatible with standard M.2 2230 dimensions, paired with an optional M.2 2280 extended thermal bracket as displayed at the booth. Equipped with premium onboard controllers, it hits peak sequential read/write speeds of 11GB/s and 10GB/s alongside maximum random 4K read/write IOPS of 2,200K and 1,800K, with single-drive capacity expandable up to 8TB to satisfy high-throughput storage and large-model repository needs of next-gen AI PCs. Incorporating proprietary VC phase-change liquid cooling paired with multi-layer stacked thermal architecture, the Gen5 SSD sustains prolonged peak performance under intense KV Cache-driven AI workloads, balancing ultra-high transfer speeds, slim device chassis design, low thermal rise and long-term operational stability.

Meanwhile, Longsys’ mature PCIe Gen4 mSSD lineup has achieved commercial deployment. The products have secured collaborations with multiple PC OEMs and are widely integrated into a range of AI PCs and thin-and-light laptops. With stable performance and proven reliability, they have earned strong market and industry recognition.

Global Expansion and Brand Power Drive Edge AI Adoption

Built upon Longsys’s proprietary AI Storage Core architecture derived from its high-speed mSSD storage media, Lexar debuts its next-generation AI-Grade Gen5 professional storage lineup at COMPUTEX. Powered by the exclusive Lexar AI Storage Solution, the new product family improves edge AI operational efficiency while reducing DRAM capacity requirements for end devices, and is well-suited for AI PCs, smart imaging equipment, and consumer robotics applications.

Marking Lexar’s milestone 30th brand anniversary and ahead of the upcoming USA-Canada-Mexico FIFA World Cup, the iconic storage brand unveils limited-edition co-branded PSSDs and USB drives developed in partnership with Argentina National Football Team, alongside its full catalog of high-capacity SSDs, portable solid-state drives and SD/microSD memory cards to enrich its consumer storage portfolio.

Founded in 1996, Lexar maintains a robust global presence spanning six continents with established distribution channels covering tier-one global retailers including Costco and Best Buy plus mainstream cross-border e-commerce platforms. Core edge AI storage technologies and products unveiled at COMPUTEX will be gradually commercialized worldwide through Lexar’s global channel advantages, delivering high-performance, reliable storage solutions for global AI content creation, edge inference, and mobile computing scenarios.

Looking ahead, Longsys will continue to deepen its focus on edge AI storage, leveraging its full-stack storage foundry capabilities to continuously iterate products and solutions, optimize the local LLM experience, and drive multi-scenario deployments—delivering mature edge AI storage solutions that are both practical and industry-benchmarking.

About Longsys
Founded in 1999, Longsys (301308.SZ) is a globally leading branded semiconductor memory enterprise, integrating R&D, design, packaging and testing, manufacturing, and sales services. For more information please visit https://www.longsys.com/, and follow Longsys on LinkedIn and Facebook.

 

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SEAL Awards Marks Ten Years of Honoring Business Sustainability and Climate Reporting

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This month marks the tenth anniversary of SEAL Awards, an organization dedicated to recognizing corporate sustainability leadership, funding early-career environmental research, and honoring the journalists whose reporting has shaped public understanding of the climate crisis. From its initial idea of corporate sustainability recognition in September 2016, the organization has grown from a single set of business awards into a three-pillar effort spanning recognition, research, and direct action.

SAN DIEGO, Sept. 24, 2026 /PRNewswire/ — Ten years ago, SEAL Awards Founder Matt Harney set out to build an organization that could champion positive corporate environmental practices. A decade later, that founding idea has expanded into three connected pillars: the Business Sustainability Awards, the Environmental Journalism Awards, and the Environmental Research Grants, alongside a series of independent environmental impact campaigns.

The SEAL Business Sustainability Awards have recognized global leaders including Cisco, Disneyland, General Electric, General Motors, Honeywell, IBM, Microsoft, Mastercard, Procter & Gamble, Salesforce, Samsung, Southwest Airlines, and Whirlpool among the world’s most sustainable. Past award winners like AiDash, Beewise, Enervee, FloWater, PATH (Pathwater), and Stasher reflect SEAL Business Sustainability Awards’ inclusion of start-ups and emerging sustainability leaders. SEAL’s ESG recognition efforts were furthered by its analytical process – merging CDP A-List data with CSA / S&P Global ESG Scores – for its SEAL Organizational Impact Award, representing the top 50 most sustainable companies in the world. Application fees from the business awards fund the organization’s research grants, environmental journalism awards and impact campaigns, tying corporate recognition directly to the organization’s broader mission.

The Environmental Journalism Awards have honored journalists at outlets ranging from established newsrooms – The New York Times, The Washington Post, The Guardian, Bloomberg, NPR, and ProPublica – to emerging, climate-focused publications including Mongabay, Grist, Earther, and The Narwhal. Each year, the program recognizes twelve journalists for reporting that connects environmental systems to the political and economic forces shaping them and the communities living through them.

The Environmental Research Grants fund graduate students and postdoctoral researchers early in their environmental policy careers, with past recipients based at institutions including Harvard, MIT, UCLA, Arizona State University, Princeton, the University of Colorado Boulder, the Marine Conservation Institute, and Duke.

Beyond granting recognition to corporate sustainability and environmental journalism, SEAL Awards has taken on its own impact campaigns, including developing the concept for an Eco Rewards credit card, launching the “UpTheCup” public call for Starbucks to reduce cup waste that achieved over 70,000 petition signatures on Change.org, and a push for Yelp to highlight sustainable restaurant listings – efforts that use the organization’s network to drive change directly rather than solely through recognition. Through these campaigns, over 100 interns gained training by directly owning impact campaign deliverables.

“Ten years ago, sustainability was often a small, ignored cost center within companies,” said Matt Harney, Founder of SEAL Awards. “Today, companies are being asked to show their work, and increasingly, they can. In the past decade, we’ve seen real progress in making sustainability a core pillar instead of an afterthought. The challenge we face in the coming decade is to shift from sustainability as an aspiration to a baseline, with regenerative business practices as the new goalpost.”

“It has been an honor to support SEAL Awards and serve its mission from the beginning,” said Safa Bee Wesley, Impact Lead. “I’m proud of the work we’ve accomplished over the past ten years, and especially proud of our impact internship program. Our impact campaigns set out to change the way business is done — but the biggest impact we created may have been through the experience our interns gained from planning and implementing our campaigns, and the skills they carried into their own careers in sustainability.”

SEAL Awards continues to expand its search for honorees across varied industries, journalism formats, and global locations, reflecting the scale of the environmental challenges it was founded to address.

ABOUT SEAL AWARDS
SEAL (Sustainability, Environmental Achievement & Leadership) Awards is an environmental advocacy organization that honors leadership through its corporate sustainability awards and environmental journalism awards, while funding academic research and pursuing its own environmental impact campaigns.

The SEAL Awards’ core pillars are:

Business Sustainability Awards, honoring the most sustainable companies in the worldEnvironmental Journalism Awards, recognizing journalists across established and emerging outletsEnvironmental Research Grants, funding early-career researchers at institutions including Harvard, MIT, and DukeImpact Campaigns, applying the organization’s network directly toward environmental accountability

Company Website
https://sealawards.com/

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DFI Enables the Future of Gaming Operations with Edge AI and Real-Time Vision Analytics at G2E 2026

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TAIPEI, Sept. 24, 2026 /PRNewswire/ — DFI, a Qisda Group company and a global leader in embedded motherboards and industrial computers, today announced that it will showcase its latest gaming computing platforms at the Global Gaming Expo (G2E) 2026. Designed for next-generation smart gaming systems, the platforms combine high-resolution graphics, responsive edge computing, and integrated system security.

Leading DFI’s showcase is the SF101-PTH embedded system, powered by the Intel® Core™ Ultra processor (Series 3) platform. Utilizing Intel® Xe3 graphics architecture and delivering up to 180 TOPS of combined AI performance across its NPU, GPU, and CPU on a single-board computer, the system addresses the demanding computational requirements of next-generation slot machines and smart bingo terminals. With its integrated edge AI capabilities, the SF101-PTH processes advanced computer vision workloads to drive player engagement analytics for tailored guest experiences, alongside on-device fraud prevention to safeguard machine integrity. These AI workloads run concurrently with low-latency multi-screen 4K 3D game rendering within a low-power envelope. DFI will demonstrate these capabilities on-site through an interactive, live Bingo Machine showcase, illustrating real-time graphical throughput and edge analytical processing.

DFI’s showcase further includes an extensive motherboard portfolio spanning Intel® Core™ Ultra processors (Series 3 and Series 2) as well as Intel® Core™ 14th/13th Gen processors to accommodate diverse cabinet form factors, offering scalable performance from mainstream socketed processing to next-generation edge AI and multi-display 4K configurations. Supporting Qisda Group’s four AI pillars – “AI Vision & Display,” “AI Infrastructure,” “AI Solutions & Smart Manufacturing,” and “AI Hospital & Wellness Ecosystem”- DFI advances high-performance graphics, edge AI processing, and scalable infrastructure to empower next-generation gaming at G2E 2026.

To simplify cabinet architecture and streamline peripheral management, DFI will feature the GM841-HPF system, powered by the AMD Ryzen™ Embedded 8000 Series processor. Built as an all-in-one platform for gaming cabinets, the GM841-HPF integrates 8-channel physical intrusion detection, 32-in/32-out isolated GPIO, 4 native ccTalk ports, and iButton interfaces directly onto the board. This unified design enables direct connectivity to bill validators, buttons, and lighting peripherals without requiring external converter boards, reducing cabling complexity and maintenance costs.

To support regulatory compliance across global gaming markets, DFI offers gaming platforms with hardware TPM 2.0 and jurisdiction-specific BIOS options pre-verified by GLI. Using cryptographic hashing and public-key verification, these capabilities help protect BIOS and storage media integrity while simplifying system validation across different gaming jurisdictions.

Exhibition Information

Location: The Venetian Expo, Las Vegas, USAHall: Exhibition HallDate: September 29 – October 1, 2026Booth No.: 1832

About DFI

Founded in 1981, DFI is a global leading provider of high-performance computing technology across multiple embedded industries. With its innovative design and premium quality management system, DFI’s industrial-grade solutions enable customers to optimize their equipment and ensure high reliability, long-term life cycle, and 24/7 durability in a breadth of markets including Industrial Automation, Medical, Gaming, Transportation, Energy, Mission-Critical, and Intelligent Retail.

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IBM Expands Its Digital Banking Infrastructure with Swift Integration and Digital Asset Haven On-Premises

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IBM enables financial institutions to connect to Swift’s blockchain-based shared ledger for tokenized deposit transactions with betaIBM Digital Asset Haven extends to on-premises beta deployment, giving institutions greater deployment control of their digital asset technology stack

ARMONK, N.Y., Sept. 24, 2026 /PRNewswire/ — IBM (NYSE: IBM) today announced two key capabilities designed to help financial institutions, governments, and other regulated organizations provide digital asset services while prioritizing enterprise-grade security and control. In a beta offering, IBM Digital Asset Haven clients can now connect to permissioned blockchain networks, including Swift’s blockchain-based shared ledger. IBM is also extending IBM Digital Asset Haven to an on-premises beta deployment option, enabling clients to manage digital asset operations entirely within their own data centers.

According to J.P. Morgan Payments, 93% of financial institutions are modernizing their payments infrastructure¹ as banks look to move money more efficiently across borders and manage a growing range of digital assets. This shift is increasing demand for infrastructure that can support new forms of digital transactions while meeting banks’ security, compliance, and operational requirements.

IBM advances cross-border payments with Swift’s ledger

IBM Digital Asset Haven now enables clients to connect to Swift’s blockchain-based shared ledger. Swift is the globally inclusive cooperative that connects 12,500 financial institutions across 200+ markets. With the beta release of the IBM Digital Asset Haven ISO 20022 Messaging Adapter feature, institutions can instruct tokenized deposit transactions using standard ISO 20022 messages through the shared ledger infrastructure, allowing them to build on existing payment message formats and operational processes instead of blockchain-specific workflows. Swift’s ledger supports bank-issued tokenized deposits and participating IBM clients can move digital assets 24 hours a day, 7 days a week, ahead of final settlement through existing systems, while continuing to use established Swift standards and banks’ own compliance processes.

Announced at Sibos 2025 and designed in collaboration with more than 40 financial institutions worldwide, Swift’s ledger moved from concept to activation within nine months and is being put to first use by 17 first-mover institutions piloting tokenized deposit transactions. Financial institutions already participating in the program have successfully tested tokenized deposits on the Swift shared ledger with IBM Digital Asset Haven, demonstrating how banks can use existing standards and compliance processes to explore new models for moving money digitally.

IBM Digital Asset Haven extends to on-premises beta deployment

IBM is also extending Digital Asset Haven, a platform built to help banks, governments, and other regulated organizations manage and secure digital assets, to an on-premises beta deployment for clients. This deployment allows organizations to manage digital assets such as stablecoins and tokenized deposits entirely within their own environments.

Since launching IBM Digital Asset Haven SaaS and hybrid deployment options in October 2025, banking and payment institutions across multiple continents have begun implementing digital asset use cases with IBM Digital Asset Haven.

The new on-premises deployment option is designed to run entirely inside a client’s own data center on IBM Z and IBM LinuxONE with no dependency on public cloud infrastructure. Clients can deploy it on compatible IBM infrastructure already in their environment or add new capacity based on their requirements.

IBM Digital Asset Haven on-premises differentiates from existing deployment options by being built to combine client control with increased performance, speed, and scale for digital asset operations, while prioritizing enterprise-grade security. IBM Digital Asset Haven’s on-premises key features include:

Client-Controlled Deployment keeps both the solution layer and the key management layer entirely inside the client’s own IBM LinuxONE or IBM Z environment, with configurations achieving industry-leading 99.999999% availability2.Hardware-Backed Security protects keys using IBM Crypto Express HSMs embedded in LinuxONE, with confidential computing and secured environment partitioning isolating production, test, and development environments.Structured Key Ceremonies and Cold Storage follow formal, auditable processes used to generate root certificate authority keys, producing documentation clients can present to regulators, with support for IBM Offline Signing Orchestrator cold storage operations.Consistent Experience Across Deployments carries the same architecture, APIs, and workflows as Haven’s SaaS and Hybrid SaaS options, so clients can move between deployment models without rewriting applications.

“The financial services industry is entering a new era where tokenized and traditional assets will need to move side by side,” said Tom McPherson, General Manager, IBM Z and LinuxONE. “As institutions modernize payments and prepare for a future of always-on transactions, they need infrastructure that combines innovation with the security, resiliency, and regulatory compliance requirements of regulated banking. By connecting to Swift’s shared ledger and extending IBM Digital Asset Haven to on-premises environments, IBM is helping clients participate in emerging digital asset networks while prioritizing control of their most critical financial operations.”

For more information about IBM’s integration with Swift’s shared ledger, visit here. Institutions interested in IBM Digital Asset Haven’s on-premises beta can join the waitlist at here.

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service.

Additional Sources
What’s New IBM Digital Asset Haven On-Prem and Swift Blog 

Disclaimers:
1. https://www.jpmorgan.com/insights/payments/fx-cross-border/2026-trends-for-financial-institutions 

2. IBM internal data based on measurements and projections was used in calculating the expected value. Necessary components include IBM LinuxONE Rockhopper 5; IBM z/VM V7.3 systems or above collected in a Single System Image, each running RHOCP 4.14 or above; IBM Operations Manager; GDPS 4.6 or above for management of data recovery and virtual machine recovery across metro distance systems and storage, including Metro Multi-site workload and GDPS Global; and IBM DS8000 series storage with IBM HyperSwap. A MongoDB v4.4 workload was used. Necessary resiliency technology must be enabled, including z/VM Single System Image clustering, GDPS xDR Proxy for z/VM, and Red Hat OpenShift Data Foundation (ODF) 4.14 or above for management of local storage devices. Application-induced outages are not included in the above measurements. Other configurations (hardware or software) may provide different availability characteristics.

Media Contact:
Aishwerya Paul
IBM Infrastructure Communications
Aish.Paul@ibm.com 

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