AMD to Produce AI Chips at TSMC’s Arizona Fab in 2025, Diversifying Supply

In a significant move that could reshape the semiconductor landscape, AMD is reportedly in discussions with TSMC to manufacture high-performance computing (HPC) chips at TSMC’s new facility in Arizona starting in 2025. This initiative, following Apple’s recent production of 5nm chips at the same site, marks a critical shift in the industry, as AMD becomes the first major tech company to venture into producing AI chips outside of Taiwan. The independent journalist Tim Culpan, who previously broke news about Apple’s endeavors at TSMC Arizona, now reveals AMD’s plans to tape out a new chip design for the Arizona fab next year. Production is slated to begin shortly after, targeting HPC products based on older architectures such as Zen 4, aligning perfectly with Fab 21’s 5-nanometer process capabilities.

Despite encountering challenges and operational delays, TSMC’s Arizona expansion remains a focal point for AMD’s supply chain strategy. The site is set to include two additional advanced facilities in the coming years, which will produce 3nm and 2nm chips, thus demonstrating TSMC’s commitment to maintaining cutting-edge manufacturing technologies in multiple locations. Industry analysts speculate that AMD might use Arizona’s Fab 21 to manufacture successors to its MI300 accelerator family, a move aimed at leveraging the site’s initial 5nm node with future upgrades possibly incorporating 4nm processes and HBM3e memory.

A Strategic Shift in Semiconductor Manufacturing

The collaboration between AMD and TSMC in Arizona signifies a strategic effort to diversify advanced chip production away from geopolitical hotspots like Taiwan. This diversification is a critical hedge for both companies amidst increasing global geopolitical tensions, ensuring a more stable and resilient supply chain. By establishing a robust production presence in the United States, AMD and TSMC are not only securing their operational capabilities but also addressing potential disruptions that could arise from geopolitical conflicts or natural disasters affecting Taiwan.

Moreover, this shift is timely given the increasing demand for high-performance chips driven by the growth of artificial intelligence, cloud computing, and other advanced technologies. With AI applications becoming ubiquitous across various industries, having a secure and diversified supply chain is paramount. AMD’s decision to tap into TSMC’s Arizona fab aligns with this trend, potentially giving the company a competitive edge over rivals who remain heavily reliant on Asian manufacturing hubs. By doing so, AMD is also aligning itself with broader industry trends of decentralizing semiconductor production, a move that could set a precedent for other tech giants.

Challenges and Opportunities Ahead

AMD is reportedly in talks with TSMC to produce high-performance computing (HPC) chips at TSMC’s new Arizona plant starting in 2025. Following Apple’s recent success with 5nm chips at the facility, this represents a significant industry shift as AMD ventures into AI chip production outside Taiwan. Prominent journalist Tim Culpan, who previously uncovered Apple’s TSMC Arizona plans, now reports on AMD’s intention to design a new chip for the Arizona fab next year, with production commencing soon after. The target is older architectures like Zen 4, aligning with Fab 21’s 5-nanometer capabilities.

Despite some operational delays, TSMC’s Arizona expansion is critical to AMD’s supply chain. The site will eventually include two additional facilities producing 3nm and 2nm chips, underscoring TSMC’s commitment to advanced manufacturing. Analysts believe AMD could use Fab 21 to make successors to its MI300 accelerator family, initially leveraging the 5nm node and potentially incorporating future upgrades like 4nm processes and HBM3e memory, which could significantly impact the semiconductor landscape, highlighting the ongoing evolution in chip manufacturing.

Explore more

Is Fairer Car Insurance Worth Triple The Cost?

A High-Stakes Overhaul: The Push for Social Justice in Auto Insurance In Kazakhstan, a bold legislative proposal is forcing a nationwide conversation about the true cost of fairness. Lawmakers are advocating to double the financial compensation for victims of traffic accidents, a move praised as a long-overdue step toward social justice. However, this push for greater protection comes with a

Insurance Is the Key to Unlocking Climate Finance

While the global community celebrated a milestone as climate-aligned investments reached $1.9 trillion in 2023, this figure starkly contrasts with the immense financial requirements needed to address the climate crisis, particularly in the world’s most vulnerable regions. Emerging markets and developing economies (EMDEs) are on the front lines, facing the harshest impacts of climate change with the fewest financial resources

The Future of Content Is a Battle for Trust, Not Attention

In a digital landscape overflowing with algorithmically generated answers, the paradox of our time is the proliferation of information coinciding with the erosion of certainty. The foundational challenge for creators, publishers, and consumers is rapidly evolving from the frantic scramble to capture fleeting attention to the more profound and sustainable pursuit of earning and maintaining trust. As artificial intelligence becomes

Use Analytics to Prove Your Content’s ROI

In a world saturated with content, the pressure on marketers to prove their value has never been higher. It’s no longer enough to create beautiful things; you have to demonstrate their impact on the bottom line. This is where Aisha Amaira thrives. As a MarTech expert who has built a career at the intersection of customer data platforms and marketing

What Really Makes a Senior Data Scientist?

In a world where AI can write code, the true mark of a senior data scientist is no longer about syntax, but strategy. Dominic Jainy has spent his career observing the patterns that separate junior practitioners from senior architects of data-driven solutions. He argues that the most impactful work happens long before the first line of code is written and