ASE Invests $200M in Next-Gen Chip Tech with Square Substrates, Aiming to Revolutionize AI Computing

February 22, 2025
ASE Invests $200M in Next-Gen Chip Tech with Square Substrates, Aiming to Revolutionize AI Computing
  • CEO Tien Wu has stressed the importance of collaborating with suppliers to address current production bottlenecks, particularly the shortage of machines needed for this new technology.

  • As part of this collaboration, ASE is working with suppliers to develop custom machinery that can accommodate the larger square substrates, as existing equipment is inadequate.

  • This investment is part of ASE's broader capital spending plan for 2025, which is projected to exceed $1.9 billion, highlighting the company's commitment to innovation in chip technology.

  • To facilitate this initiative, ASE plans to establish a small-scale test production line in Kaohsiung, Taiwan, specifically designed for processing 600mm by 600mm square substrates.

  • The company is targeting the establishment of the test production line in 2025 at its R&D hub, with the first customer samples of products using square substrates expected to be delivered by 2026.

  • The transition to square substrates is promising, as they can offer up to five times more usable area than traditional 300-mm round wafers, enabling the assembly of more multi-chiplet AI processors.

  • ASE Technology Holding is making a significant investment of $200 million to develop next-generation chip packaging technology that utilizes square substrates, aiming to enhance AI computing performance.

  • Overall, ASE's move towards square substrates could not only enhance their product offerings but also set a new standard in the industry for advanced chip packaging.

  • If successful, this initiative could position ASE ahead of its competitors in the advanced packaging sector by several years, potentially transforming the market landscape.

  • This timeline indicates ASE's strategic approach to rapidly bring innovative products to market, aligning with the growing demand for advanced AI computing solutions.

  • It's important to note that the initial $200 million investment is focused on machinery for the small-scale production line and does not encompass broader research and development costs.

Summary based on 2 sources


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