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Samsung

SK hynix says it has completed development and readied mass production of HBM4, signaling a new performance and efficiency baseline for next‑generation AI accelerators and cloud infrastructure. HBM4 doubles per‑stack bandwidth versus the prior generation by moving to a 2,048‑bit I/O interface and pushing data rates beyond 10 Gbps per pin, exceeding the JEDEC baseline of 8 Gbps for this class of memory. The company also cites more than 40% improvement in power efficiency, a critical lever as AI clusters strain data center power envelopes. Taken together, SK hynix claims this can lift end‑to‑end AI service performance by up to roughly two‑thirds.
SoftBank will invest $2 billion in Intel, taking roughly a 2% stake at $23 per share and becoming one of Intels largest shareholders. It is a financial vote of confidence in a company trying to reestablish process leadership, scale a foundry business, and convince marquee customers to commit to external wafer orders. SoftBank has been assembling an AI supply-chain franchise that spans IP, compute, and infrastructure. It owns Arm, agreed to acquire Arm server CPU designer Ampere Computing, injected massive capital into OpenAI, and aligned with Oracle under the Stargate hyperscale AI initiative backed by the current U.S. administration.
More than $14 billion has been invested across the CBRS stacklicenses, RAN, devices, infrastructure, sensors, and software. Over 420,000 CBRS radio nodes (CBSDs) are in service. The device ecosystem is broad: Apple and Samsung ship n48-capable handsets; industrial and FWA suppliers support n48 CPEs and routers; Ericsson, Nokia, Samsung, JMA Wireless and others provide radio and DAS. This is not a pilot; it is production infrastructure. Refarming would force replacement or retuning of hundreds of thousands of base stations and millions of end devices, plus upgrades to SAS integrations and enterprise control planes.
Intel is spinning off its Network and Edge (NEX) division after posting a $2.9B loss, cutting 15% of its workforce, and pivoting to an AI-first strategy. The standalone NEX business will focus on networking and edge innovation, with Intel retaining an anchor investor role. The move underscores Intel’s restructuring to prioritize x86 and AI while seeking agility to compete with NVIDIA, AMD, and Broadcom in high-performance networking and 5G infrastructure.
Tesla and Samsung have forged a $16.5B partnership to manufacture AI6 (Hardware 6) chips at Samsung’s Texas fab. Designed as a unified AI hardware platform, these chips will power Tesla’s Full Self-Driving vehicles, Optimus humanoid robots, and AI training clusters. The deal strengthens Tesla’s AI roadmap while positioning Samsung as a key player in high-performance AI silicon and U.S. chip manufacturing.
Samsung has launched two new rugged devices—the Galaxy XCover7 Pro smartphone and the Tab Active5 Pro tablet—designed for high-intensity fieldwork in sectors like logistics, healthcare, and manufacturing. These devices offer military-grade durability, advanced 5G connectivity, and enterprise-ready security with Samsung Knox Vault. Features like hot-swappable batteries, gloved-touch sensitivity, and AI-powered tools enhance productivity and reliability in harsh environments.
Samsung Electronics and KT Corporation have entered a strategic partnership to develop 6G network technologies, focusing on improving signal quality and system performance. Their research prioritizes advanced antenna systems like X-MIMO and AI-driven wireless communication enhancements. The companies aim to tackle high-frequency signal loss in the 7 GHz band and improve network reliability through beamforming and multi-spatial transmission.
India’s ambition to become a global smartphone manufacturing leader faces hurdles as nearly half of its production capacity remains underutilized. Despite significant investments and the government’s PLI scheme, weak domestic and global demand has impacted production. Industry leaders like Foxconn and Tata Electronics continue to expand, while smaller manufacturers struggle. Experts predict recovery as global demand for smartphones and advanced technologies grows by 2025.
Private 5G/LTE and CBRS networks are revolutionizing industries by enabling smarter cities, safer workplaces, and more efficient factories. This edition celebrates award-winning deployments and insights from industry leaders who are driving digital transformation. Explore real-world examples of how these networks optimize manufacturing operations, enhance supply chain visibility, and promote sustainable practices, making grids resilient and industries future-ready.

Award Category: Private Network Excellence in Construction

Winners: Samsung & NAVER Cloud

Partner: Hoban Construction


Samsung and NAVER Cloud have been recognized with the 2024 TeckNexus "Private Network Excellence in Construction" award for their deployment of a private 5G network at Hoban Construction’s large-scale apartment project. This solution transformed construction site operations by addressing critical challenges in safety, efficiency, and communication. By enabling real-time monitoring, seamless integration of next-generation applications, and enhanced operational productivity, Samsung and NAVER Cloud's private 5G network has set a new standard for optimizing construction processes, delivering advancements in site management and connectivity.
Samsung Electronics and KT Corporation will deploy the Republic of Korea Navy’s first Private 5G network by December 2025. The Smart Naval Port project aims to improve security and operational efficiency for the Navy's 2nd Fleet. Using Samsung’s 5G SA Compact Core and KT’s advanced infrastructure, this network will enhance real-time communication, unmanned vehicle control, and intelligent security monitoring.
Explore the new Samsung Galaxy Z Fold 6 and Z Flip 6, featuring advanced AI capabilities for productivity, creativity, and entertainment. Unveiled at the Galaxy Unpacked event, these foldable smartphones, along with the AI-enhanced Galaxy Buds3 Pro, highlight Samsung's innovative approach to integrating AI in mobile technology.

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