Subject


HBM


2024-03-06

[News] HBM Manufacturers Encounter Challenges in NVIDIA Quality Tests, Raising Concerns over Yield and Production

The surge in demand for NVIDIA's AI processors has made High Bandwidth Memory (HBM) a key product that memory giants are eager to develop. However, according to South Korean media DealSite cited by Wccftech on March 4th, the complex architecture of HBM has resulted in low yields, making it difficul...

2024-03-04

[News] SK Hynix Rumored to Propose Collaboration with Kioxia for HBM Production in Japan

South Korean memory giant SK Hynix is reportedly exploring a collaboration with Japanese NAND flash memory manufacturer Kioxia to produce High Bandwidth Memory (HBM) for AI applications, as per MoneyDJ citing Jiji Press. According to Jiji Press' report on March 1st, it is estimated that produc...

2024-02-23

[News] SK Hynix Announces Complete Sales of HBM for the Year, Memory Market Poised for Recovery

South Korean memory giant SK Hynix has confirmed record-breaking sales of High Bandwidth Memory (HBM) over the past few months, driving profitability in the fourth quarter and predicting an industry-wide recovery. According to Wccftech, SK Hynix Vice President Kim Ki-tae stated on February 21st...

2024-02-21

[News] Pioneering an AI Era: Assessing the Prosperity and Challenges of the NVIDIA

Last year's AI boom propelled NVIDIA into the spotlight, yet the company finds itself at a challenging crossroads. According to a report from TechNews, on one hand, NVIDIA dominates in high-performance computing and artificial intelligence, continuously expanding with its latest GPU products. On ...

2024-02-19

[News] CoWoS Capacity Shortage Challenges AI Chip Demand, while Taiwanese Manufacturers Expand to Seize Opportunities

With the flourishing development of technologies such as AI, cloud computing, big data analytics, and mobile computing, modern society has an increasingly high demand for computing power. Moreover, with the advancement beyond 3 nanometers, wafer sizes have encountered scaling limitations and manu...

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