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Meta Other 2026-07-12

Meta Invests $9.17B in Canada AI Data Center, Iris AI Chip Mass Production Begins MTIA Roadmap

Meta announced a $9.17B AI data center in Canada with 1GW capacity, and its first in-house AI chip Iris will mass produce in September, kicking off the MTIA four-generation roadmap. Meta targets 14GW compute by 2027, using 6-month chip iterations to challenge NVIDIA's annual cadence and reduce GPU dependency.

Samsung Electronics Other 2026-07-10

Samsung GAIA AI PC Chip Samples with Memory-Centric NPU, Targeting 50 TOPS

Samsung launches GAIA AI PC processor with 4nm process and memory-centric NPU, integrating LPDDR5X controller with NPU for near-memory computing, achieving 40% energy efficiency improvement and 50 TOPS. Certified for Microsoft Copilot+ PC, Lenovo to adopt in Q4 2026.

Anthropic Other 2026-07-06

Anthropic Starts Custom AI Chip Development, Talks Samsung 2nm, Aims for Compute Independence

Anthropic has initiated its own AI chip development and is in talks with Samsung for 2nm foundry services. The move aims to reduce reliance on NVIDIA GPUs, optimize inference costs, and strengthen its technology moat ahead of a potential IPO. It joins OpenAI, Google, and others in the custom ASIC race, signaling a shift from software to hardware competition.

Anthropic Other 2026-07-05

Anthropic Launches Custom AI Chip: Vertical Integration to Control Inference Cost and Supply

Anthropic launched Claude Sonnet 5 and revealed a custom AI chip initiative, using Samsung foundry. This move aims to reduce dependency on NVIDIA, control long-term inference costs, and marks Anthropic's shift from a pure software company to a vertically integrated infrastructure firm.

Meta Other 2026-07-04

Meta Shifts MTIA ASIC to Samsung 2nm: Ecosystem Restructuring in AI Chip Fab

Meta partners with Samsung for next-gen MTIA ASIC production, moving from TSMC to Samsung 2nm node. Targeting hundreds of thousands of units to support 5GW data center goal by 2030, with new chip every six months, restructuring the AI chip supply chain ecosystem.

Anthropic Other 2026-07-04

Anthropic in talks with Samsung for 2nm AI chip, targeting NVIDIA CUDA control shift

Anthropic is in early talks with Samsung to manufacture custom AI chips using 2nm process and advanced packaging, hiring ex-OpenAI chip engineer Clive Chan. This aims to reduce NVIDIA GPU dependency and seize control of AI infrastructure, signaling a control plane shift in AI compute.

Samsung Electronics Other 2026-07-01

Samsung Restarts 1.4nm Foundry Node, Pre-emptively Locks Equipment Supply Chain

Samsung Electronics restarts 1.4nm (SF1.4) process commercialization, ordering equipment vendors to develop tools early. The node will use High-NA EUV lithography and GAA transistors, fabbed at NRD-K campus. This move aims to catch up with TSMC and Intel, but mass production timeline remains undisclosed.

Samsung Electronics Other 2026-06-30

Samsung Re-accelerates 1.4nm Node R&D, Adopts High-NA EUV Lithography

Samsung Electronics is re-accelerating its 1.4nm (SF1.4) process node R&D, targeting mass production by 2028-2029. It has procured High-NA EUV lithography equipment from ASML for its NRD-K R&D complex and ordered tools for 12th-gen V-NAND with wafer stacking. The move aims to catch up with TSMC and Intel in the AI chip foundry race.

TSMC Other 2026-06-29

TSMC Adds Winbond to WoW 3D Stacking Memory Supply, Breaking DRAM Oligopoly

Winbond joins TSMC's Wafer-on-Wafer (WoW) 3D stacking advanced packaging supply chain, becoming a new DRAM wafer supplier alongside Samsung, SK Hynix, and Micron. This move reduces reliance on the three global DRAM giants and strengthens AI chip packaging supply resilience. Winbond provides DRAM wafers for vertical stacking with TSMC logic wafers, offering 8GB capacity and 256GB/s bandwidth via its CUBE solution.

Samsung Electronics Other 2026-06-29

Samsung and SK Hynix Announce $300B Investment to Dominate AI Memory and Foundry

Samsung and SK Hynix announce a 10-year, 1,000 trillion won investment plan to expand HBM4 production, improve 3nm GAA yield, and build new AI chip fabs. This aims to cement their HBM duopoly and close the gap with TSMC in advanced foundry, reshaping global AI infrastructure supply chain costs.

MediaTek Other 2026-06-23

Google TPU v9 Switches to MediaTek, Breaking Broadcom's AI ASIC Monopoly

Google moves its TPU v9 Humufish design and integration contract from Broadcom to MediaTek, which handles I/O chip design and packaging. Combined with a split-foundry strategy (TSMC N2 compute, Samsung 2nm I/O), this marks a systematic effort to build a multi-vendor, multi-node supply chain, directly dismantling Broadcom's dominance in custom AI ASICs.

TSMC Other 2026-06-22

TSMC under triple pressure: customer diversification, patent challenges, and EUV strategy shift

TSMC faces operational, legal, and commercial pressures: Google splits Icefish AI chip production with Samsung, US ITC patent probe risks import bans, and resource bottlenecks (labor, water, power) limit expansion. TSMC confirms it will skip high-NA EUV until 2029, using multi-patterning on low-NA EUV for 2nm, saving $5-10B.

Samsung Electronics Other 2026-06-21

Samsung 3nm GAA Yield Hits 80%, Lands Nvidia Order: TSMC Monopoly Challenged

Samsung Electronics announced its 3nm GAA process yield has exceeded 80%, securing orders from Nvidia for mid-range GPUs. This milestone marks the commercialization of Samsung's SF3 technology, aiming to reduce Nvidia's reliance on TSMC.

TSMC Other 2026-06-19

TSMC Capacity Crunch Reshapes Foundry Landscape: Google, AMD, Tesla Move to Samsung for Advanced Nodes

TSMC's advanced capacity shortage through 2027 pushes Google, AMD, and Tesla to Samsung for 3nm/2nm foundry services. Samsung's 6.5% market share may see structural growth, shifting global chip supply from single-source to multi-source, though yield and trust issues persist.

TSMC Other 2026-06-17

TSMC Accelerates Glass Substrate CoWoS with Japanese and Taiwan Partners

TSMC partners with Ibiden and Innolux to develop glass substrates for next-gen CoWoS packaging. Simulation shows 16% warpage improvement, 27% resistance reduction, targeting AI chip performance and reliability amid competition from Intel and Samsung.

Other Other 2026-06-17

Applied Materials Launches Deposition and Etch Systems for 3D Chip Scaling

Applied Materials unveils Centris Spectral SiN ALD for uniform dielectric deposition in GAA contacts and Producer Selectra Mo Etch for molybdenum-based 3D NAND word line separation, addressing high-aspect-ratio uniformity issues critical for AI chip manufacturing.

ARM Other 2026-06-15

ARM's Pivot to Direct AI Chip Sales: From IP Licensor to Silicon Competitor

ARM accelerates its $15B chip revenue goal by shifting from pure IP licensing to direct AI chip sales, disrupting relationships with Qualcomm and Apple, and challenging Nvidia/Intel, signaling a fundamental ecosystem restructuring.

NVIDIA Product Launch High Signal 2026-04-27

NVIDIA Rubin Delayed, Blackwell to Account for 71% of High-End GPU Shipments in 2026

NVIDIA Rubin GPU production target lowered from 2M to 1.5M units due to HBM4 memory validation delays. TrendForce data shows Blackwell share rising from 61% to 71% in 2026, consolidating dominance. Micron exits Rubin HBM4 supply chain, SK hynix to hold 70% share. Analysts maintain overweight ratings, viewing impact as limited. Rubin delay may extend SK hynix's HBM3E market dominance.

Samsung Electronics Other High Signal 2026-04-09

Samsung Re-Architects Bixby as an LLM-Core Device Agent

Samsung has re-architected its voice assistant Bixby, shifting from a command-based model to an agentic paradigm with an LLM at its core. The new Bixby understands device context and user intent to autonomously orchestrate device functions and APIs for complex tasks, aiming to become the primary interface for all Samsung products.

Samsung Electronics Other High Signal 2026-04-09

Samsung Extends Enterprise Mobility Management to XR Headsets via Android Enterprise

Samsung released a key software update for Galaxy XR, formally integrating Android Enterprise support to extend enterprise-grade device management, security frameworks, and application deployment capabilities to extended reality (XR) devices. This move aims to provide a standardized foundation for controlled, large-scale enterprise XR deployments, backed by a commitment to five years of software and security updates.