Register and share your invite link to earn from video plays and referrals.

SemiVision 🇹🇼 👁️👁️
@semivision_tw
Expertise in Semiconductor Industry │Silicon Photonics│AI Industry│Supply Chain│ASIC│Ecosystem │Food │Travel
1.7K Following    13.9K Followers
AI rack power density is entering a new era. OCP’s M+ Diablo architecture introduces a ±400V DC sidecar to support rapidly rising AI power requirements. With Google, Meta, and Microsoft contributing, data-center power architecture is shifting from a supporting function to a critical bottleneck—and competitive advantage—for AI infrastructure.
Show more
$AVGO Taiwan’s ODM ecosystem is becoming a critical backbone of open AI networking. Broadcom highlights local partners supporting Tomahawk 5/6 and Jericho 4 platforms, including Alpha Networks, Accton, Delta, QCT, UfiSpace, Wistron, and WNC. Taiwan’s role is expanding from manufacturing into core AI infrastructure integration.
Show more
GlobalFoundries and Corning jointly demonstrated an optical interconnect solution that combines a silicon photonics (SiPh) chip with a detachable GLASSBRIDGE™ connector. For the first time, they achieved a fully detachable GLASSBRIDGE™ connector capable of handling up to 280 mW of optical power. The optical interface integrates GF’s silicon photonics platform, featuring SiN spot-size converters (SSCs) and a V-groove edge-coupling structure, with Corning’s GLASSBRIDGE™ connector technology, which utilizes low-loss ion-exchanged glass waveguides. The GF PIC expands the optical mode to match the 9 µm mode field diameter of the glass waveguide, while Corning’s waveguide routes the light to a connector interface compatible with standard MT ferrule connectors.
Show more
At IEEE ECTC 2025, #NVIDIA# proposed replacing polarization-maintaining fiber (PMF) with single-mode fiber (SMF) by integrating an active polarization tracking circuit directly into the silicon photonics (SiPh PIC) chip. The system dynamically stabilizes the optical signal’s state of polarization in real time. Although insertion loss and power consumption increase, the approach significantly reduces cost and improves supply chain flexibility, making it more suitable for large-scale AI data center deployments.
Show more
Over the past three decades, the global semiconductor industry was built on a highly efficient model of specialization. The United States controlled chip design, EDA, IP, and end-platform ecosystems. Taiwan became the center of advanced foundry manufacturing and packaging. South Korea dominated DRAM, NAND, and memory supply. Japan retained key positions in materials and equipment. China provided massive electronics manufacturing capacity and end-market demand.
Show more
Driven by the success of NVIDIA’s system-level architecture, HBM (High Bandwidth Memory) has effectively become the default memory configuration for high-end AI accelerators. In today’s AI infrastructure, memory is no longer a secondary component — it is a performance-defining element. You can think of HBM as the most premium real estate in a megacity. The location is unbeatable: it sits extremely close to the compute die, connected through an interposer with thousands of ultra-wide data paths. The infrastructure is top-tier: 3D die stacking, TSV vertical interconnects, and advanced packaging technologies such as CoWoS enable unprecedented bandwidth density.
Show more
2026 Jan 31 SemiVision has compiled a list of the companies that attended tonight’s dinner.
Jensen Huang is visiting Taiwan again. Key keyword: Edge Computing, Feynman Is The Age of edge devices/Robotics coming ??
Eric Schmidt was invited to speak at the commencement ceremony at University of Arizona, but was met with heckling and boos from tens of thousands of students in attendance. During his speech, he acknowledged graduates’ concerns about AI-driven job displacement and the uncertainty surrounding the future. He emphasized that humans must shape AI through values, responsibility, and agency, while also expressing optimism about AI’s potential in science, healthcare, and other fields. But the students clearly were not buying it.
Show more
When HBM Becomes “Luxury Real Estate for Compute” How to Rebuild AI Memory Architecture
SMIC is fulllll
中芯國際(SMIC)報告指出,由於AI熱潮導致海外產能吃緊,外國客戶正將半導體訂單轉移至中國。 聯席執行長趙海軍表示,許多海外客戶如今已在國內進行製造,並稱這是一項長期趨勢。
Show more
TSMC’s Arizona fab posted a Q1 profit of NT$18.8 billion, already surpassing last year’s full-year profit of NT$16.1 billion. Meanwhile, JASM’s Kumamoto fab recorded a NT$900 million profit, marking its first profitable quarter since mass production began at the end of 2024. With advanced process nodes and CoWoS advanced packaging capacity now in severe shortage, TSMC will need to accelerate capacity expansion even more aggressively — even without major price increases — in order to meet customer demand. Under a relatively conservative expansion scenario, overflow orders are already beginning to shift toward Intel and Samsung. $INTC $TSM
Show more
That’s why $NVDA need CoWoP ( substrateless)
Interesting… Taiwanese media thinks the next bottleneck NVIDIA will lock up is ABF substrates — through LTAs, prepayments, strategic collaborations, equity investments, etc. If that happens, it would be great for me, though lol.
Show more
When HBM Becomes “Luxury Real Estate for Compute” How to Rebuild AI Memory Architecture
When HBM Becomes “Luxury Real Estate for Compute” How to Rebuild AI Memory Architecture
According to a report by Bloomberg, Dutch semiconductor equipment giant #ASML# has announced a partnership with India’s Tata Group to jointly advance India’s 12-inch wafer fab project, with the goal of establishing domestic chip manufacturing capabilities in India. For India, this is not merely a single investment project, but is widely viewed as an important step toward challenging the semiconductor supply chain dominance of Taiwan, South Korea, and China. According to information released by both parties, ASML will provide technical support for Tata Group’s 300mm (12-inch) wafer fab located in Gujarat. The facility is expected to manufacture semiconductor products for applications including automotive, smartphones, and AI.
Show more