SHENZHEN, China, June 2, 2026 /PRNewswire/ — COMPUTEX TAIPEI opened today at the Taipei Nangang Exhibition Center. Emdoor Digital presented its full portfolio — spanning laptops, tablets, AI supercomputing terminals, and the proprietary AI intelligent hub “Ailyn” — demonstrating comprehensive capabilities across hardware and software in the intelligent device sector.

Thin-and-Light Laptops: 799g Carbon Fiber Flagship Leads on Weight and Thickness

Emdoor Digital showcased a new ultraportable laptop lineup pushing limits in both dimensions. The flagshipCF14 uses a carbon fiber and magnesium alloy composite to achieve just799g. Powered by Intel Wildcat Lake, it balances portability and performance, with an optional Intel Panther Lake upgrade delivering up to180 TOPS — sufficient for on-device LLM inference and AI-assisted development. Lightweight and high-performance are no longer mutually exclusive.

Also debuting: the AT14(12.95 mm) and CN14(14.2 mm), both all-metal and 999g, alongside the cost-optimized DL14 (all-plastic, also 999g). Together they form a complete gradient — from premium flagship to accessible mainstream.

14-Inch 2-in-1: Tablet Line Enters Productivity Territory

Emdoor Digital’s tablet range now spans 8 to 14 inches across both Android and Windows. The newly unveiled TO14, a 14-inch 2-in-1 Windows tablet powered by Intel Lunar Lake with 25W sustained performance, switches seamlessly between tablet and laptop modes — delivering a portable yet capable mobile workstation for enterprise users and content creators.

AI Supercomputing Matrix: Motherboards to Mini Workstations

As AI shifts from cloud to edge, Emdoor Digital displayed a complete computing lineup from high-performance motherboards to AI mini workstations.

PF14 builds on Intel Panther Lake (Intel 18A process) with up to 180 TOPS, enabling local inference of hundred-billion-parameter LLMs. Its signature AI SSD expansion leverages three M.2 slots for direct SSD participation in inference scheduling, achieving 37.5×faster first-token response at 16K tokens. A 1.3L all-metal chassis houses quad 8K output and dual 2.5G networking.

PF59 runs the AMD Ryzen AI Max+ 395 with UMA — CPU, GPU, and NPU share up to 128 GB unified memory, up to 96 GB dynamically assignable as VRAM, loading 70-billion-parameter models instantly. 154W performance output in a 2.69L body redefines portable productivity.

FF26, Emdoor Digital’s first Wildcat Lake mini PC, packs a 0.6L all-metal chassis, 65W output, 32 dB quiet operation, and quad 4K@120Hz displays. Two mATX motherboards were also shown: AFR19 (AMD Ryzen 9 9955HX3D, 160W) and IRX19 (Intel 14th Gen HX, up to i9-14900HX, 130W), covering consumer to industrial needs.

Ailyn: Proprietary AI Hub for Multi-Device Intelligence

As device counts grow, cross-device coordination lags — data scatters, tasks break at device boundaries. Emdoor Group’s ‘Ailyn’ addresses this systematically.

Built on a unified software and algorithm framework, Ailyn orchestrates storage, compute, models, and data across devices. Its core principle is “connect, don’t copy”: through local-first intelligent indexing across authorized devices, AI accesses data without migration. Ailyn enables private data interoperability and device-cloud collaborative scheduling — sensitive data stays on-device, complex tasks route to the cloud. Flexible compute expansion pools idle private resources for active workloads. Crucially, Ailyn learns user preferences over time — more devices mean greater capability.

Emdoor Digital’s answer: “hardware delivers the computing foundation, software defines the experience, and real-world scenarios close the value loop.” From a 799g carbon fiber flagship to a 180 TOPS AI workstation, from a 14-inch 2-in-1 to the Ailyn hub — this full-spectrum portfolio reflects a systemic vision. Tomorrow’s intelligent terminals must transcend specification stacking to become integrated entities where compute, interaction, and services converge.

Company: Emdoor Digital Technology Co.,Ltd.
Contact Person: Yao Zhou
Email: marketing.digi@emdoor.com
Website: http://www.emdoordigi.com/
City: Shenzhen, China

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SOURCE Emdoor Digital

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

MWM, the mobile technology company with over one billion downloads, partners with Google Cloud to launch the “AI Mobile Squad” with Gemini Enterprise.

The Squad includes a team of Designer, Product Manager, and Developer agents that turns a prompt into a production-ready native iOS and Android app in under three minutes.

PARIS and SUNNYVALE, Calif., June 4, 2026 /PRNewswire/ — Google Cloud Summit ’26 – MWM, a leading mobile app publisher with more than 1 billion downloads, and Google Cloud today announced the launch of the AI Mobile Squad, the next evolution of MWM AI, using Gemini Enterprise.

Replacing the MWM AI’s previous generalist AI experience, the AI Mobile Squad is a coordinated team of three specialized AI agents – a Designer, a Product Manager, and a Developer – all working in sequence as one team. Built on Google Cloud’s Gemini models, including Nano Banana, and working with the Gemini Enterprise Agent Platform, the AI Mobile Squad gives 500 million creators, solopreneurs, and SMBs worldwide an entire mobile product team on demand.

Hire a Mobile Team, Not Just an Agent

When MWM AI launched in February, it proved that anyone could turn a prompt into a native iOS app in minutes. But shipping a real mobile app business has never been a one-person job. It takes a product manager to scope it, a designer to define the experience, and a developer to write code that meets Apple and Google standards.

Built on the Gemini Enterprise Agent Platform, three specialized AI agents are now available:

The Product Manager agent conducts the discovery interview, defines the product vision, and produces a precise product brief that frames the entire build.The Designer agent takes the Product Manager’s brief and crafts a complete mobile design system, produces every screen as a production-ready mockup, and creates App Store-ready icons, validating the UI before any code is written, with an average time-to-first-design of under three minutes.The Developer agent ships production-grade SwiftUI apps for Apple and Kotlin apps for Android platforms. MWM AI is the one of the only AI app builders that ships in the two native languages Apple and Google use to write their own operating systems.

The three agents share context and work in sequence, replacing the trial-and-error cycle of single-agent builders with the discipline of a real product team.

Each agent is safely grounded in 14 years of MWM’s proprietary mobile data, 70+ shipped apps, 1 billion downloads, distilling design systems, monetization architectures, and growth patterns that no general-purpose AI can replicate. Where vibe-coding tools learn from the public web, the AI Mobile Squad inherits the patterns of a portfolio already winning at scale.

Today’s reveal is the foundation of a larger ambition for MWM. Over the coming months, additional agents covering App Store optimization, paid acquisition, growth, QA, and customer support will progressively extend the Squad, bringing every stage of building a mobile app business into one workspace, backed by MWM’s 14 years of mobile expertise.

Using Google Cloud full stack approach to AI

The AI Mobile Squad runs on Google Cloud’s full AI stack in an open manner. The Gemini Enterprise Agent Platform acts as the critical orchestration engine, managing the seamless handoffs and shared context between the specialized agents to ensure a cohesive and efficient development process. Gemini, including its latest Gemini 3.5 version, fuels the reasoning and cross-agent context that ties the AI Mobile Squad together and Nano Banana drives high-fidelity image generation across the Designer agent’s mockups and icon studio.

Cloud Run, Cloud Spanner, and Google Cloud Storage enables MWM AI’s real-time WebSocket orchestrator, mobile build farm, and user workspaces across three regions: Europe, the United States, and Asia-Pacific.

This integrated approach is supported by Google Cloud’s AI-optimized architecture, which provides the high-performance, scalable infrastructure necessary to coordinate the Squad’s complex reasoning and real-time development workflows.

As a result, the AI Mobile Squad is available as of today on mwm.ai on subscription, with a free trial is available to all new users, and every app that it creates is App Store and Play Store ready, with distribution workflows, subscriptions, in-app purchases, paywalls, ad monetization, real-time analytics, and A/B testing already wired in.

Jean-Baptiste Hironde, Founder & CEO of MWM, said: “The future of building isn’t a single AI doing everything, it’s a team of specialized agents collaborating like a real product team. Today we’re launching the first AI Mobile Squad: a Product Manager, a Designer, and a Developer working as one. Tomorrow, we’ll grow it into a complete mobile business. With Google Cloud, we have the models, solutions and infrastructure to be a pioneer, continue our innovation journey and scale to meet opportunities globally.”

Grégoire Peiron, Director Google Cloud France, Startups / Digital Natives, said: “MWM is a remarkable example of how French mobile expertise can be amplified by Google Cloud’s AI stack. By building their AI Mobile Squad combining our models, agentic AI technology and infrastructure in an open manner, MWM is taking mobile innovation a stride further, making the industry enter the agentic era.”

About MWM

Founded in 2012, MWM is a mobile technology company behind more than 1 billion downloads worldwide. Over the past 14 years, the company has built, published, and scaled category-leading apps across the full mobile lifecycle, from product development to monetization, distribution, and growth. In 2026, MWM launched MWM AI, the first AI Mobile Squad turning simple prompts into native iOS and Android app businesses, with built-in App Store and Google Play publishing, in-app purchases, and growth tools. MWM AI is the first AI app builder shipping in Swift and Kotlin, the two languages Apple and Google use to write their own operating systems. Within months of public launch, MWM AI was adopted by more than 200,000 users worldwide, bringing MWM’s app business expertise to a new generation of creators and entrepreneurs. Headquartered in Paris, MWM has been recognized among the French Tech top 120 startups in France and has raised more than $75 million from investors including Eurazeo, Bpifrance, NJJ, Aglaé Ventures, Cassius Family, and Habert Dassault Finance.

Learn more at www.mwm.ai

About Google Cloud

Google Cloud offers a powerful, optimized AI stack — including AI infrastructure, leading models like Gemini, data management capabilities, multicloud security solutions, developer tools and platform, as well as agents and applications — that enables organizations to transform their business for the Agentic Era. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

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SOURCE Google Cloud