Nvidia’s Supply Bottlenecks: How Packaging and Memory Constraints Threaten Its 70% Growth Target
NVIDIA reported Q2 revenue of $96.2 billion, double year-over-year, driven by strong data center performance at $89 billion.
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Nvidia’s Revenue Surge Solidifies HBM Demand for South Korean Chipmakers
Nvidia’s stellar Q2 earnings, featuring a 106% year-on-year revenue surge and eased margin pressure concerns, have reinforced a highly optimistic…
Arm’s AGI CPU Architecture: Why Agent Workloads Are Driving a $2B Infrastructure Market
Arm has unveiled details of its AGI CPU architecture at the Hot Chips 2026 conference, designed specifically for AI agent…
Nvidia’s $750B AI Financing Risk Triggers Record Rise in Bond Market Credit Swaps
Nvidia is set to announce its Q2 earnings, with projected revenue doubling from 2025 to $92.18 billion, and an estimated…
TSMC’s Advanced Packaging Bottleneck: Intel’s Opportunity to Win AI Foundry Customers
TSMC is reportedly facing challenges with advanced packaging yields for High Bandwidth Memory (HBM), specifically InFO and CoWoS processes, which…
Trend Micro’s AI Cyber Warning: Why the Traditional Kill Chain Fails Western Supply Chains
According to Tom Kellermann, VP of Security and Threat Research at TrendAI (Trend Micro), the traditional linear 'cyber kill chain'…
Samsung and SK Hynix Split on HBM4, Forcing a Design Choice for AI Chipmakers
At Hot Chips 2026, Samsung Electronics emphasized 'active base die' technology, transforming the HBM base die from a passive connector…
TSMC’s Power Demand Will Hit 28.8B kWh in 2025, Consuming 10% of Taiwan’s Electricity
TSMC's latest sustainability report shows its global power consumption is projected to reach 28.77 billion kilowatt-hours (kWh) in 2025, a…
SK hynix’s HBM4 Packaging Roadmap: Doubling TSVs to Meet Western AI Accelerator Demand
SK hynix detailed its advanced packaging roadmap for High-Bandwidth Memory (HBM) at Hot Chips 2026, focusing on HBM4 and beyond.
Taiwan’s FaCTz Compression: How 60GB/s GPU Data Throughput Unlocks Scientific AI Bottlenecks
Researchers have developed a new data compression method called 'FaCTz' that achieves throughputs of up to 60GB/s on NVIDIA A100…
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