AMD Accelerates Mass Production of Helios Racking Platform, Taiwan Supply Chain Enterprises Fully Prepared

Advanced Micro Devices (AMD) is accelerating the commercial deployment of its next-generation Helios rack-scale AI platform, with plans for mass shipments to begin in the second half of 2026. At the same time, North American cloud computing giants are actively promoting the diversification of AI computing infrastructure to reduce excessive dependence on single suppliers.

According to TrendForce, major Taiwanese original design manufacturers (ODMs) such as Wistron, Wiwynn, and Inhasys have all initiated preparations for mass production of the platform. The first batch of shipments is expected to begin in earnest by the end of the second quarter to the third quarter, with full-scale mass production ramping up in the fourth quarter.

This accelerated trend reflects a deeper strategic shift among hyper-scale cloud providers. Industry insiders point out that over the past year, major cloud service providers have been expanding their procurement scale from AMD, with the core goal of avoiding an over-concentration of AI computing resources with a single supplier. AMD's MI300 and MI350 series accelerators are gradually establishing their core position in the expansion plans of high-performance AI servers by hyper-scale cloud providers.

Among the main cloud service providers, Microsoft has been the most aggressive in adopting AMD AI infrastructure, listing AMD as the second-largest AI accelerator platform after Nvidia. The Helios rack system aims to start mass shipments in the second half of 2026, the AI rack system based on MI450 is planned to be deployed before the end of the year, and the MI500 series is expected to be included in the procurement plan for 2027.

Meta also regards AMD hardware as an important supplementary computing resource under its "Meta Compute" strategy, dedicated to building a hybrid acceleration architecture that balances self-developed ASIC chips and existing Nvidia facilities. Musk's AI startup xAI also uses the AMD Helios rack system as the core computational infrastructure for AI research and development.

TrendForce indicates that the top five hyper-scale cloud providers in North America are significantly increasing their procurement of rack-scale AI servers this year to expand training and inference computing power. Nvidia GB300, AMD Helios, and cloud provider self-developed ASIC platforms are expected to enter a large-scale construction phase concurrently, further intensifying the competitive landscape of the AI server supply chain.

On the Taiwanese supply chain front, Wistron has secured a large volume of AMD front-end card orders and will rely on the newly built Zhubei Plant to support platform shipments; Inhasys is expected to see a significant increase in shipments in the fourth quarter, driven by major cloud customer orders; Wiwynn is expected to gradually expand the scale of Helios rack system shipments from the third quarter onwards.

The above developments indicate that as the diversification strategy of AI infrastructure by hyper-scale cloud providers continues to advance, AMD is poised to become a significant beneficiary. Against the backdrop of the continuous acceleration of rack-scale computing demand, the Helios platform is emerging as a new growth driver for the Taiwanese AI server supply chain.