AMD commits over $10 billion to Taiwan AI ecosystem to scale next-generation infrastructure

AMD says it will invest over $10 billion across Taiwan's AI ecosystem

May 21 (Reuters) - Advanced Micro Devices (AMD.O), opens new tab said on Thursday it would invest more than $10 billion across Taiwan's AI ecosystem and ⁠widen strategic partnerships as it looks to expand its manufacturing capabilities. The U.S. chip firm will collaborate with ⁠Taiwanese firms ASE (3711.TW), opens new tab and SPIL to develop more power-efficient ⁠technology for AI systems and processors, ⁠it said in a statement. Reporting ⁠by Ananya Palyekar in Bengaluru; Editing by Mrigank Dhaniwala Our Standards: The Thomson Reuters Trust Principles., opens new tab

AMD to invest $10 billion in Taiwan's AI industry to advance top-end chips

Lisa Su, chair and chief executive officer of Advanced Micro Devices Inc. (AMD), during the 2026 CES event in Las Vegas, Nevada, US, on Monday, Jan. 5, 2026. AMD on Thursday said it will invest more than $10 billion across Taiwan's semiconductor and AI ecosystem to advance chip production and performance. Taiwan is at the center of the semiconductor industry because of Taiwan Semiconductor Manufacturing Co., the world's largest chip manufacturer, which makes products for the most valuable companies in the world from Nvidia to Apple. AMD has been a beneficiary of the continued heavy spending on AI infrastructure with its shares doubling so far this year as it looks to step up competition to rival Nvidia, which itself reported blowout earnings on Wednesday.

AMD commits more than $10bn to Taiwan's AI ecosystem with ASE, SPIL and Helios as the visible deliverables

Lisa Su's Taiwan announcement covers advanced silicon, packaging and manufacturing partnerships for the company's rack-scale Helios platform, set for deployment in the second half of 2026. AMD announced on Wednesday more than $10bn of investments across Taiwan's semiconductor ecosystem to expand strategic partnerships and scale advanced packaging manufacturing for next-generation AI infrastructure. The commitment covers a multi-year deployment of silicon, packaging and supply-chain capacity built around the company's rack-scale Helios platform, scheduled for second-half 2026 customer deployment. On named partners, the announcement covers work with ASE and SPIL on next-generation wafer-based 2.5D bridge interconnect technology, alongside other Taiwan-based suppliers AMD has not separately listed in the public release. The technology track filed in the company's 8-K materials is calibrated to support the Helios platform's full-rack scale architecture, where AMD has been positioning against Nvidia's GB200 and GB300 NVL72 systems through the past three quarters. Chair and chief executive Lisa Su framed the announcement around AI-infrastructure demand. 'As AI adoption accelerates, our global customers are rapidly scaling AI infrastructure to meet growing compute demand,' she said in the statement, signalling that the Taiwan-side capacity build is calibrated against a customer pipeline AMD has not separately disclosed. The competitive context, which the announcement does not address directly, is that the Google-Blackstone $25bn TPU-cloud joint venture and the wider hyperscaler-capex commitments for 2026 have produced a procurement window in which non-Nvidia accelerator suppliers can credibly compete for share if the manufacturing-and-packaging supply chain can keep pace. Taiwan's role in the announcement is the structural part. The country's foundry-and-packaging capacity is the bottleneck for the entire frontier-AI-silicon supply chain, regardless of which US accelerator brand the customer ultimately specifies. AMD's commitment positions the company alongside Nvidia's own multi-year TSMC-and-packaging supply commitments at the front of the foundry queue for the H2 2026 and H1 2027 production windows. The geopolitical overlay is the part neither side of the supply chain addresses directly in the announcement materials. The wider Nvidia-alternative compute landscape this announcement sits inside has been active across the past three weeks. Tenstorrent's takeover conversations with Intel and Qualcomm and Alibaba's T-Head Zhenwu M890 announcement represent the two visible non-Nvidia compute paths from the US/Western and the Chinese-domestic sides respectively. AMD is the third leg of that stool, the established US-side challenger with the production-line credibility to actually ship into hyperscaler deployments at scale. AMD did not disclose the multi-year allocation schedule for the $10bn-plus commitment, the specific named customer contracts the Helios platform will land in during the H2 2026 deployment window, the per-rack cost economics relative to Nvidia's NVL72 systems, or the proportion of the Taiwan investment that is opex versus capex. The 8-K filed with the announcement carries the headline figure. The commitment is the largest single-country AI-infrastructure commitment AMD has disclosed to date. The next visible proof point will be the first named Helios deployment under the H2 2026 timeline, where the customer logo and the production-shipment volumes will become public.

AMD Injects Over $10b In Fresh Investments To Taiwanese Firms As It Preps Its 6th Gen EPYC & MI450X For Multi-GW AI Deployments

AMD has made over $10b in investments to its strategic partners across Taiwan as it's inches away from deploying 6th Gen EPYC & MI450X inside its Helios AI racks. As the next chapter of AI takes the world by storm, leading tech companies are prepping their latest platforms while working simultaneously with partners to ensure a steady supply to meet their targets. Today, AMD announces its readiness to cater to this growing AI demand by pooling in over $10 billion worth of investments towards the Taiwan ecosystem and its regional partners who will soon be supplying one of the fastest AI Racks on the market to date, codenamed Helios. This powerful rack, designed purely for AI, houses the company's latest 6th Gen EPYC CPUs codenamed Venice, and the Instinct MI450X AI GPUs. AMD is working with various "strategic" Taiwanese partners, which include ODMs such as Sanmina, Wiwynn, Wistron, and Inventec, alongside SPIL, PTI, Unimicron, AIC, Nan Ya PCB, and Kinsus, who will be building & shipping the latest Helios AI Racks, setting the stage for its Agentic AI roadmap. Press Release: To meet the growing demand for AI infrastructure, AMD today announced more than $10 billion in investments across the Taiwan ecosystem to expand strategic partnerships and scale advanced packaging manufacturing for next-generation AI infrastructure. Working with strategic partners in Taiwan and globally, AMD is advancing leading-edge silicon, packaging, and manufacturing technologies that enable higher performance, greater efficiency, and faster deployment of AI systems. These efforts build on AMD's deep ecosystem partnerships and long-standing leadership in chiplet architectures, high-bandwidth memory integration, 3D hybrid bonding, and rack-scale system design for next-generation AI infrastructure. "As AI adoption accelerates, our global customers are rapidly scaling AI infrastructure to meet growing compute demand," said Dr. Lisa Su, Chair and CEO, AMD. "By combining AMD leadership in high-performance computing with the Taiwan ecosystem and our strategic global partners, we are enabling integrated, rack-scale AI infrastructure that helps customers accelerate deployment of next-generation AI systems." Today's investment announcement demonstrates how AMD is extending its leadership through strategic partnerships that advance silicon, packaging, and manufacturing innovations required for next-generation AI infrastructure: Together, these advancements reinforce AMD's leadership in delivering high-performance AI infrastructure at scale. By combining silicon innovation with a robust global ecosystem, AMD is enabling customers to accelerate the deployment of the next generation of AI systems.

AMD to Invest More Than $10 Billion in Taiwan's Chip Industry

Advanced Micro Devices plans to invest more than $10 billion across Taiwan's semiconductor sector to meet growing demand for artificial-intelligence infrastructure. The U.S. chip maker will use the investment to expand strategic partnerships in Taiwan and scale advanced packaging capability for AI infrastructure, it said Thursday. "As AI adoption accelerates, our global customers are rapidly scaling AI infrastructure to meet growing compute demand," Chief Executive Lisa Su said. AMD aims to combine its expertise in high-performance computing with the Taiwan chip ecosystem to help customers accelerate AI deployment. The company has also begun manufacturing its next-generation central processing unit, known as Venice, in Taiwan using Taiwan Semiconductor Manufacturing Co.'s 2-nanometer technology, according to a separate statement Thursday. It has plans to produce the Venice chip at TSMC's Arizona fabrication plant in future. Venice is the first high-performance computing product in the industry to enter production using TSMC's 2nm process technology, AMD said.