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SK hynix Sets 2026 Target for Mass Production of HBM4 Memory

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by Maise Cooper
February 6, 2024
Image Credit: Unsplash 
SK hynix Sets 2026 Target for Mass Production of HBM4 Memory

SK hynix is poised to begin mass production of High Bandwidth Memory 4 (HBM4) by 2026, targeting a significant share of the booming AI computing market. This announcement, made at SEMICON Korea 2024 by Vice President Kim Chun-hwan, reinforces the company’s commitment to maintaining a competitive edge in the high-stakes memory industry, where rivals such as Samsung and Micron are also progressing with HBM4 technologies.

HBM technology is essential for AI advancement, and the anticipated 40% growth of the HBM market by 2025 places SK hynix in a strategic position to deliver critical, high-capacity components. As per the JEDEC standards, initial HBM4 samples could reach up to 36 GB per stack. Industry watchers expect detailed specs to be introduced between 2024 and 2025, leading to customer trials before the final release in 2026. SK hynix’s strategy reveals not just a technological push but also a vision to spearhead supply stability in an increasingly demanding AI landscape.

SK hynix’s move into High Bandwidth Memory 4 (HBM4) production is set to shake up the competition in memory manufacturing, catering specifically to the emerging needs of high-end AI GPUs. While it’s still under wraps which AI products will utilize HBM4, SK hynix’s initiative clearly targets the forefront of the memory market for AI technologies. The company aims to be a leader in this field, recognizing the importance of advanced memory for the future of AI, machine learning, and high-performance computing. This step demonstrates SK hynix’s dedication to innovation and understanding of market trends necessary to drive the development of next-gen computing solutions. This strategic move could significantly impact how artificial intelligence capabilities evolve, emphasizing the elevated performance that HBM4 promises to deliver.

Artificial IntelligenceMachine Learning

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