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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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SOURCE Longsys

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YunoJuno Releases 2026 Contractor Rates Report: AI, Product, and Technology Skills Continue to Drive Contractor Market Growth

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New data from YunoJuno reveals how AI, cloud-native skills, and direct sourcing are transforming the global contractor market in 2026.

NEW YORK and LONDON, June 4, 2026 /PRNewswire/ — YunoJuno, the leading end-to-end Freelancer Management System (FMS), today released its 2026 Contractor and Freelancer Rates Report, providing the most comprehensive global analysis of contractor rates, workforce trends, sourcing behavior, and AI adoption to date across technology, business, and creative disciplines.

Drawing on more than 182,000 workforce data points from the YunoJuno platform from 2024 and 2025 the report offers organizations and independent professionals an authoritative benchmark across global markets.

Technology and infrastructure skills command top rates globally

The report findings reflect a contractor market increasingly shaped by the demand for deep specialist expertise, particularly across AI adoption, cloud infrastructure investment, and software engineering. Technology disciplines continue to command the highest premiums globally, with Cloud & Infrastructure contractors reaching average rates of $93/hr (US) and £566/day (UK) – among the highest of any discipline tracked.

Across all disciplines, average contractor rates reached $68/hr (US) and £410/day (UK), with Software Engineering ($88/hr | £533/day), Product Management ($86/hr | £521/day), and Strategy ($85/hr | £518/day) all sitting well above the market average.

AI skills reshaping delivery, roles and rates

One of the report’s most significant findings is how AI is being adopted. Rather than creating a distinct new skills category, AI is becoming an embedded capability layer across existing disciplines – most prominently in Data & Analytics with 26%+ AI-related skills concentration.

“While much of the conversation around AI has focused on disruption, the reality is more nuanced,” said Runar Reistrup, CEO at YunoJuno. “AI is not creating an entirely separate category for specialism, but instead an embedded layer, reshaping how work is being delivered. The contractors creating the most value are those combining deep domain expertise with AI-enabled execution.”

At an overall level, AI skills are associated with a modest rate uplift indicating that adoption alone is not yet driving significant pricing differences across the market. However, this varies meaningfully by discipline with Software Engineering showing a strong rate uplift (+26%), reflecting the high value of AI integration within engineering workflows. Project Management follows (+17%) where AI is directly impacting delivery speed and operational efficiency.

Direct sourcing dominates

The report also reveals a meaningful shift in how enterprises are accessing contractors and freelancers. More than four in five contractor bookings (over 80%) were made through clients’ own direct contractor networks, underscoring the growing strategic importance of Freelancer Management Systems (FMSs) in helping organizations build, manage, and redeploy trusted talent pools at scale.

Direct bookings have grown year-over-year, pointing to a more selective and operationally mature sourcing model, with organizations using external channels to solve capability gaps and delivery complexity. At the same time, the speed advantage of contractor hiring remains a critical driver – with onboarding taking place within hours compared to permanent hiring lead times of three to six months.

Access the 2026 report

YunoJuno’s 2026 Contractor and Freelancer Rates Report is available to access and download at www.yunojuno.com/freelancer-rates-report, with benchmarks spanning AI & Automation, Cloud & Infrastructure, Data & Analytics, Product Management, Software Engineering, Marketing & Communications, Strategy, UX, Creative, Design, and broader Business Operations disciplines.

About YunoJuno
YunoJuno is the leading global end-to-end Freelancer Management System (FMS) that helps enterprises source, onboard, manage, and pay contractors globally with complete compliance and transparency. YunoJuno’s AI-powered technology streamlines the entire contractor engagement process while mitigating compliance risks, currently serving 12,000 businesses and hundreds of thousands of independent contractors and freelancers worldwide.

For more information, visit www.yunojuno.com

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SOURCE YunoJuno

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Forus selects Elisa Industriq’s Gridle to operate 15 MW of battery storage in Finland

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HELSINKI, June 4, 2026 /PRNewswire/ — Forus Oy has selected Elisa Industriq’s Gridle to optimize and operate 15 MW of battery energy storage across two sites in Finland. The projects support grid balancing and flexibility needs in a power system with increasing renewable energy generation.

The assets, 5 MW / 10 MWh in Imatra and 10 MW / 20 MWh in Sodankylä, are grid-scale batteries designed to balance the Finnish electricity grid and capture maximum value from electricity markets. The projects are implemented through the project companies Imatran Akku Oy and Sodankylä Akku Oy. Suomen Sähköverkot Oy, backed by Finnish private investors, has acquired a majority ownership stake in the projects. Forus has led the project development, including site identification, permitting, and EPC contracting.

Gridle will provide Forus with a route-to-market service, acting as the optimizer and market operator for both projects. Gridle connects the assets to electricity markets, operates them, and manages their participation across balancing and wholesale markets to maximize value and performance.

“We chose Gridle because it combines proven operational reliability, strong market expertise and experience in operating critical infrastructure. As battery markets become more competitive, we need a partner that can continuously optimize performance and adapt to evolving market conditions,” says Julius Maylett, Head of Project Management at Forus.

Gridle has developed its in-house optimization and market access capabilities by operating distributed battery portfolios across industrial, residential and telecom environments, the most complex form of battery optimization. This is a strong foundation for expansion into grid-scale optimization. Gridle has recently announced several grid-scale projects, such as with Finnish energy companies Vantaan Energia and Nivos.

“Grid-scale batteries are a strategic focus for Gridle. Maximizing value requires continuous optimization, accurate forecasting, and reliable operation in changing market conditions. We are pleased to see pioneering companies such as Forus turn to Gridle to maximize the returns of their energy storage investments,” says Markus Logren, Business Lead at Gridle, Elisa Industriq.

Forus continues to expand its pipeline of energy storage and renewable energy projects. The Imatra and Sodankylä projects represent the next step in scaling storage assets across Finland.

More information & interview requests:

Elisa Industriq Mediadesk, mediadesk@elisaindustriq.com, tel. +358 50 305 1605
Forus, Julius Maylett, julius.maylett@forus.fi, tel. +358 40 187 6408

About Gridle

Gridle is an AI-powered energy flexibility service that maximizes the value of flexible energy assets such as batteries. Gridle turns energy flexibility, the ability to shift when electricity is produced or consumed, into financial value. Gridle controls energy assets intelligently and decides when energy assets should use, store or produce energy. It then offers this flexibility capacity to electricity markets that balance supply and demand, enabling customers to cut energy costs and gain new revenue streams. The service is vendor-neutral and ensures the security of mission-critical assets and infrastructure. Drawing on Elisa’s 140+ years of innovation and automation and its expertise in operating nationally critical infrastructure, Gridle delivers dependable energy services that translates directly into operational efficiency and measurable financial outcomes. elisaindustriq.com/gridle

About Elisa Industriq

Elisa Industriq creates software solutions for operational intelligence by multiplying industrial knowledge with AI innovation. Our businesses - camLine, sedApta, Polystar, CalcuQuote, TenForce, and Gridle – serve over 2,500 clients internationally in the manufacturing, telecommunications, and energy sectors. 

Elisa Industriq delivers business value for customers by reducing costs, improving quality, and generating growth. Our software solutions integrate with customers’ existing systems to optimize their operations in areas including manufacturing execution, supply chain optimization, network analytics, and energy management. 

Elisa Industriq is part of Elisa, a pioneer in telecommunications and digital services headquartered in Finland. Our shared mission is a sustainable future through digitalization. Elisa Industriq employs over 1,500 experts in Europe, Asia, and North America. elisaindustriq.com

About Forus

Forus Oy is a Finnish project developer focused on scaling commercially viable climate solutions. The company develops projects across renewable energy and storage, and other emerging technologies that support the energy transition.

Forus combines technical project development with a strong commercial focus, covering the full lifecycle from site identification and permitting to EPC contracting and construction readiness. Forus exists to accelerate the energy transition by turning complex infrastructure projects into viable, scalable and bankable solutions. The company is backed by experienced private investors and is actively developing its portfolio in Finland. forus.fi/en 

This information was brought to you by Cision http://news.cision.com

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TelkomMetra Strengthens Its Business Portfolio Restructuring Strategy, AdMedika Group Ready for Distinct Expansion under Fullerton Health

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This strategic initiative aligns with Danantara Indonesia’s streamlining directive to TelkomGroup in strengthening its structure and sharpening its business focus.

JAKARTA, Indonesia, June 4, 2026 /PRNewswire/ — PT Multimedia Nusantara (TelkomMetra), an operating company of PT Telkom Indonesia (Persero) Tbk (Telkom), has officially signed a Shares Sale and Purchase Agreement (SPA) with the Fullerton Health group of companies (Fullerton Health) regarding the full divestment of PT Administrasi Medika (AdMedika), including its subsidiary TelkoMedika (collectively referred to as AdMedika Group). The SPA between TelkomMetra as the seller and Fullerton Health as the buyer, which was executed on Tuesday (2/6), marks an important milestone in TelkomMetra’s portfolio optimization efforts, while positioning AdMedika Group to enter its next phase of growth under Fullerton Health’s ownership, including opportunities for regional expansion.

In line with the SOE streamlining aspirations mandated by Danantara Indonesia, this move forms part of the effort to build a more focused, agile, and globally competitive business structure for TelkomGroup. This initiative also represents part of the execution of TLKM 30’s medium-term transformation strategy, particularly under the third pillar through the restructuring of non-core business portfolios to strengthen the company’s focus on its core telecommunications and digital businesses.

Managing Director Business-2 of PT Danantara Asset Management, Setyanto Hantoro, stated, “This strategic step is aligned with the transformation and SOE portfolio restructuring agenda currently being driven by Danantara to build companies that are more focused, healthier, and globally competitive. Through a well-directed portfolio restructuring strategy and collaboration with global partners such as Fullerton Health, we believe this synergy will strengthen the capabilities of Indonesia’s digital ecosystem, particularly in the healthcare sector, while creating sustainable long-term value for all stakeholders.”

“TelkomGroup continues to consistently implement its business portfolio restructuring strategy to build a company that is more agile, efficient, and focused on value creation. We view strategic partnerships such as this not merely as a corporate transaction, but as part of a broader effort to create a more optimal business structure, enabling each entity to grow more aggressively while opening wider opportunities for future business innovation,” said President Director of Telkom, Dian Siswarini.

Meanwhile, President Director of TelkomMetra, Pramasaleh Haryo Utomo, added, “TelkomMetra views this move as a strategic momentum to strengthen AdMedika’s long-term value creation. Under Fullerton Health’s ownership, we believe AdMedika is in a solid position to enhance its capabilities, expand its business scale, and gain access to a broader regional healthcare ecosystem, while maintaining the strong foundation that has been built in Indonesia.”

AdMedika Group possesses a strong business foundation, technological capabilities, and proven track record in Indonesia’s healthcare administration (third party administrator/TPA) industry. As part of Fullerton Health, which has extensive regional experience across the Asia-Pacific region, this collaboration is expected to strengthen AdMedika Group’s position as one of Indonesia’s leading healthcare administration and managed care providers.

“This acquisition reaffirms Fullerton Health’s long-term commitment to Indonesia and our continued investment in building an integrated and scalable healthcare platform. With the integration of AdMedika Group into the Fullerton Health ecosystem, we are strengthening our operational capabilities in healthcare administration services while leveraging the regional network we have established to address the continuously evolving healthcare needs in Indonesia,” said Ho Kuen Loon, Group CEO of Fullerton Health.

Through this strategic move, TelkomGroup, TelkomMetra, and Fullerton Health Group aim to strengthen the healthcare and digital services ecosystem in Indonesia, while creating sustainable added value for all stakeholders.

About AdMedika Group 
AdMedika Group, acquired by TelkomGroup through TelkomMetra in 2010, is a third party administrator (TPA) company with the largest network in Indonesia, providing claims management solutions, provider network management, and integrated digital health services for corporations, insurance companies, and institutions. As part of the national healthcare ecosystem, AdMedika combines technological excellence with proven operational capabilities to deliver fast, accurate, and transparent services to customers. For more information, visit https://www.admedika.co.id/.

About Fullerton Health 
Established in 2010, Fullerton Health is a leading integrated healthcare solutions provider in Asia Pacific. Operating across nine markets, the Group runs approximately 550 healthcare facilities and partners with more than 20,000 providers, delivering end-to-end services spanning managed care, primary care, diagnostics, speciality services and ancillary solutions.

Supported by a workforce of almost 8,000 employees, Fullerton Health serves over 26,000 corporate clients and facilitates beyond 14 million healthcare transactions annually, impacting more than 4 million lives across the region.

Combining clinical excellence, corporate healthcare expertise and digital innovation, Fullerton Health is committed to delivering seamless, accessible and trusted healthcare for all. For more information, visit https://www.fullertonhealth.com/.

CONTACT:
Galih Dzulfiqar
dzulfiqar.galih@edelman.com
896-1992-3673

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SOURCE PT Multimedia Nusantara (TelkomMetra)

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