Reports
AI-generated structured vendor updates
TSMC to Acquire AUO Panel Fabs for Panel-Level Packaging to Slash AI Chip Costs
TSMC reportedly plans to acquire two AUO panel fabs for ~$870M to boost advanced packaging for FOPLP and CoPoS. The first CoPoS line is testing at AP7, aiming to reduce cost and area waste for large AI chips by moving from circular wafers to glass panels.
ASML高数值孔径EUV光刻机实现量产就绪新里程碑
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台积电四季度3纳米月产能预计达18万片
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MediaTek Adopts Dual Packaging: CoWoS and Intel EMIB-T for ASIC
MediaTek CEO confirms ASIC projects adopt Intel EMIB-T packaging alongside TSMC CoWoS. EMIB-T uses micro bridges for high-density interconnects, supporting HBM, achieving 8-10x reticle area at lower cost. Dual-track strategy highlights packaging as a key competitive dimension in AI chips.
Intel's 18A Process Enters Mass Production with Strong Yield, $20B CapEx for AI Chips
Intel's 18A process has entered mass production with yields exceeding expectations. The company raised its 2026 CapEx to over $20B for AI chip manufacturing. Data center and AI revenue grew 59% YoY to $6.3B, now 70% of total revenue, signaling Intel's strategic pivot to AI infrastructure.
TSMC 2nm Volume Production Begins, AMD First to Launch Venice and MI455X
TSMC has fully ramped its 2nm process at five fabs, contributing ~3% of wafer revenue in Q2. AMD launches the first 2nm-based products: EPYC Venice (256 cores) and Instinct MI455X (320B transistors, 432GB HBM4), shipping in Q3. Samsung targets 1.4nm by 2029, Intel 18A introduces High-NA EUV, intensifying foundry competition.
Intel Accelerates 14A to 2027H2 Risk Production, 18A Yield Exceeds Target by 25%, Capex Raised to $20B
Intel announced 14A process acceleration to risk production in 2027H2 with HVM in 2028, 18A yield exceeding target by 25% supporting Panther Lake volume, and raising 2026 capex to $20B, signaling an aggressive foundry push. Advanced packaging EMIB-T becomes a profit pillar.
TSMC Q2净利润同比增长77%，2nm首次公开贡献收入
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TSMC Pledges $100B More for 6 US Fabs, Localizing 3nm for AI Chip Supply Chain
TSMC announces an additional $100B investment in Arizona, bringing total US commitment to $265B, with plans for 6 fabs focused on 3nm and beyond. This move localizes advanced process for AI chip demand from NVIDIA, Apple, AMD, reshaping global semiconductor supply chain. Q2 net profit surged 77% YoY, FY capex raised to $60-64B.
Huawei Ascend 950 SuperPoD: 1024 NPUs with 256TB Unified Memory Redefines AI Compute
Huawei unveiled the Ascend 950 SuperPoD at WAIC 2026, featuring 1024 NPUs per cabinet with 256TB unified memory and 3μs latency. This system-level innovation compensates for process limitations, scaling to 500,000 NPUs for trillion-parameter model training, shifting the compute race from single-chip to system efficiency.
TSMC Hikes Sub-7nm Prices 8-12%, Extends Lead Times to 26 Weeks, Triggering AI Chip Cost Inflation
TSMC raises sub-7nm wafer prices by 8-12% and extends lead times to 26 weeks, effective July 2026. New v2.1 directive mandates EDA tool validation for PDK access. This directly inflates AI chip TCO, delays new product launches, and solidifies TSMC's control over the AI supply chain.
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.
AWS Sells Trainium 3 Externally, Challenging NVIDIA's AI Training Chip Dominance
AWS begins external sales of its Trainium 3 AI training chip, fabricated on TSMC 3nm process, delivering 2.52 PFLOPS per chip. Early customers include Anthropic and Uber. This move directly challenges NVIDIA's dominance and marks AWS's strategic shift from cloud provider to chip vendor.
AWS boosts Trainium 3 shipments, accelerating ASIC substitution for NVIDIA GPUs
Supply chain sources indicate Amazon AWS has instructed vendors to increase Trainium 3 shipments for Q3 2026 by 20-30%. This signals strong confidence in its custom ASIC strategy to reduce dependence on NVIDIA GPUs, leveraging superior cost and power efficiency for cloud AI training.
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.
NVIDIA Vera Rubin AI Platform Slated for July 2026 Shipments, Iterative Compute Upgrade
NVIDIA confirms its next-gen AI compute platform, Vera Rubin, will start shipping in July 2026 to major cloud providers like Microsoft and Google. The platform uses an advanced process node to boost AI training and inference performance, representing an iterative upgrade over Hopper and Blackwell without a fundamental architectural shift.
英伟达RTX 5080公版显卡将在BW2026限量发售，售价8299元
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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 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.
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.