Amazon's Custom Chip Business Crossed a $25 Billion Run Rate: Time to Load Up on Shares?

Amazon, initially recognized primarily as an e-commerce giant, is emerging as a significant player in the artificial intelligence (AI) computing space. This shift is driven by the company's strategic entry into the semiconductor chipset market, where it has developed custom AI chips. Amazon's custom chip business has recently reached a substantial milestone: an annual run rate of $25 billion. This achievement signifies that Amazon's custom chips are gaining traction among clients, indicating strong market acceptance.

The significance of this milestone cannot be overstated. In 2009, Nvidia's Double Down signal marked a turning point for the company, hinting at its future potential. Similarly, Amazon's current situation suggests a similar opportunity, albeit on a much smaller scale. The company's decision to manufacture custom AI chips is a strategic move to optimize costs and improve performance for AI workloads, which are traditionally handled by general-purpose graphics processing units (GPUs) from Nvidia and other manufacturers.

While Nvidia GPUs remain the industry standard for AI computing, they are not purpose-built for specific tasks. They are general-purpose devices that, while versatile, come with higher costs and limited performance. Amazon's custom AI chips, such as Trainium2 and Trainium3, offer a more cost-effective and efficient alternative. In fact, Trainium2 delivers approximately 30% better price-performance compared to GPUs.

The demand for these chips is evident, as Trainium3 sold out capacity just months after its release, and Trainium4, set to launch in 2027 or 2028, already has a substantial portion of capacity reserved.

This trend suggests a robust and growing market for Amazon's custom AI chips. As a result, Amazon Web Services (AWS), the company's cloud computing division, is likely to become a preferred platform for building and training AI models. This positioning could significantly bolster Amazon's competitive advantage in the AI sector, making it an attractive investment option for those looking to capitalize on the burgeoning AI market.