Reports
AI-generated structured vendor updates
NVIDIA Vera Rubin Goes Global: 10x Token per Megawatt, Locks In AI Factory Standard
NVIDIA announces full production and global delivery of Vera Rubin platform, with CoreWeave and cloud providers deploying NVL72 systems. Featuring Vera CPU and Rubin GPU, the platform delivers 10x token throughput per megawatt over Blackwell, enabling gigawatt-scale AI factories across 350+ sites.
TSMC Accelerates 1.4nm Process, Partners with Unimicron on EMIB-Like Packaging to Counter Intel
TSMC accelerates its 1.4nm (A14) process to mid-2028 mass production, using second-gen GAA NanoFlex Pro transistors and existing EUV lithography. It also partners with Unimicron on EMIB-like packaging to alleviate CoWoS capacity constraints and prevent AI chip customer loss to Intel's packaging platform.
MediaTek ra mắt chip mới, hứa hẹn giải quyết khủng hoảng silicon toàn cầu
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NVIDIA Rubin GPU Detailed: 3nm Dual-Die, 336B Transistors, 288GB HBM4, NVLink 6 Doubles Bandwidth
NVIDIA unveiled the full Rubin GPU architecture at SIGGRAPH 2026: 3nm dual-die, 336B transistors, 288GB HBM4 with 22 TB/s bandwidth, and NVLink 6 at 3600 GB/s. The NVL72 rack integrates 72 GPUs with 36 Vera CPUs, requiring full liquid cooling due to >1000W TDP.
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.
AMD Helios Enters Production: 12-Stack HBM4 Outmuscles NVIDIA, UALoE Opens AI Network
AMD's second-generation Helios rack-scale AI server enters full production, featuring 72 MI455X GPUs with Samsung's exclusive 12-stack HBM4 (31TB per rack). Compared to NVIDIA's 8-stack design, it offers 50% more memory and 30% lower token cost. Microsoft Azure commits to large-scale deployment, solidifying hyperscaler dual-vendor strategy.
NVIDIA Prepay $1.5B to Amkor for US 2nm/3nm/HBM4 Advanced Packaging
NVIDIA prepays $1.5B to Amkor to expand advanced packaging capacity in Arizona, covering 2nm/3nm/HBM4. This onshores AI chip packaging, complementing Wistron's system integration, to reduce reliance on Taiwan and secure supply for Vera Rubin and Blackwell Ultra.
AMD Helios Full-Stack AI Server Deployed on Azure, UALoE Open Standard Challenges NVLink
AMD and Microsoft Azure announce large-scale deployment of Helios full-stack AI servers, featuring 72 MI455X GPUs, 18 EPYC Venice CPUs, and Pensando DPUs, with 31TB HBM4 and 1.7PB/s memory bandwidth. Two new Azure VM series target Agentic AI and semiconductor design, marking Microsoft's multi-vendor strategy and challenging NVIDIA's dominance.
NVIDIA-OpenAI $100B Partnership: 10GW Vera Rubin AI Factories Reshape Ecosystem
NVIDIA and OpenAI announce a strategic partnership to deploy at least 10GW of NVIDIA systems using the Vera Rubin platform (Rubin GPU, Vera CPU, HBM4, NVLink 6). NVIDIA will invest up to $100B. First facilities go online in H2 2026, powering OpenAI's next-gen models, marking the era of multi-GW AI factories.
NVIDIA公开Rubin GPU架构细节：3360亿晶体管，智能体AI性能较Blackwell提升10倍
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NVIDIA Reveals Vera Rubin GPU and Vera CPU: 3360B Transistors, 88-Core Olympus, 10x Agentic AI Efficiency
NVIDIA fully discloses Vera Rubin GPU and Vera CPU specifications. The GPU features 3360B transistors, HBM4 288GB, and 10x agentic AI efficiency over Blackwell. The CPU has 88 custom Olympus cores, delivering 2.2x faster agentic AI performance than Intel Sapphire Rapids. This solidifies NVIDIA's full-stack strategy against x86 incumbents.
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.
TSMC CoWoS Capacity to Reach 200k Wafers by 2027, Diversifying from GPU to CPU and ASIC
TSMC targets 200k wpm CoWoS capacity by 2027, narrowing supply-demand gap from 20% to 10%. Customer base diversifies from NVIDIA GPU to include AI server CPUs (MediaTek, AMD) and ASICs (Broadcom). CoPoS panel-level packaging enters pilot production in 2027.
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.
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.
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.
OpenAI and Broadcom Tape Out First Inference ASIC Jalapeño in 9 Months, Targeting NVIDIA Dominance
OpenAI and Broadcom unveil Jalapeño, their first custom inference ASIC, fabricated on TSMC 3nm and optimized for Transformer models. Targeting a 50% inference cost reduction, it taped out in 9 months and is slated for deployment in gigawatt-scale data centers by late 2026, marking OpenAI's strategic pivot to full-stack AI infrastructure and a direct challenge to NVIDIA's inference hegemony.
TSMC Hikes Advanced Node Prices 5-10%, Squeezing AI Chip Margins
TSMC informs clients of 5-10% price hikes across all advanced nodes (7nm+), affecting 74% of wafer revenue. Apple, Nvidia, AMD, and others face higher costs, potentially raising AI infrastructure prices.
Arm Doubles AGI CPU Revenue Target, Signaling Pivot from IP Licensor to Direct Silicon Competitor
Arm reported record FY2026 revenue of $4.92B and doubled its AGI CPU revenue forecast to over $2B by 2028. The 136-core, 3nm, 300W processor, co-developed with Meta, targets AI Agent workloads and has attracted OpenAI and major hyperscalers. This marks Arm's strategic shift from IP licensing to direct silicon competition, triggering FTC antitrust scrutiny.
AMD MLPerf 6.0: MI350 GPUs Achieve 3.5x Leap with MXFP4, Debut Multi-Node Training
AMD submitted its most comprehensive MLPerf Training 6.0 results, including first multi-node training (FLUX.1 on 512 GPUs) and MXFP4 training recipe. MI355X delivers 3.5x generational leap over MI300X on Llama 2-70B, within 5% of NVIDIA B200. 10 ecosystem partners validated reproducibility.