Amazon, Microsoft and Google Plan AI Chip Sales, Challenging Nvidia With 144-Chip Systems
Updated
Updated · The Motley Fool · Jul 6
Amazon, Microsoft and Google Plan AI Chip Sales, Challenging Nvidia With 144-Chip Systems
3 articles · Updated · The Motley Fool · Jul 6
Summary
Amazon is expected to join Microsoft and Google in selling in-house AI chips to outside customers, widening a direct challenge to Nvidia beyond internal cloud use.
144 Trainium3 chips packed into Amazon UltraServers can match rack-scale Blackwell performance at lower cost, showing how the cloud giants aim to compete through system-level design rather than single-chip speed.
Google and Microsoft are pursuing the same strategy as customers seek alternatives to Nvidia's ecosystem and, in some markets, to U.S. hyperscaler-operated cloud infrastructure.
Nvidia still faces little near-term damage because CUDA remains deeply embedded and demand for its data-center GPUs continues to exceed supply, though its biggest customers are becoming longer-term rivals.
With tech giants now selling their own chips, is Nvidia's near-monopoly on AI hardware facing a serious, long-term threat?
As the US and China build separate AI ecosystems, how will this tech divide reshape the global semiconductor supply chain?
Cloud Giants vs. Nvidia: The Race for AI Chip Supremacy in a $50 Billion Market
Overview
The AI compute market is rapidly changing as Amazon, Microsoft, and Google challenge Nvidia’s dominance by developing and, in some cases, selling their own custom AI accelerator chips. These cloud giants want more control over pricing, supply, and innovation, aiming to deliver cost-effective and high-performance solutions for the growing AI sector. With the XPU market reaching $31 billion in 2025 and custom silicon design expected to double by 2028, their efforts signal a major shift. This transformation is driven by the need to optimize costs and performance, reshaping the future of AI infrastructure.