Amazon focuses on external sales of custom AI chips, threatening Nvidia’s dominance

Amazon is in talks to sell its own AI chips to outside data center customers. This move signals a major shift in the balance of power within the artificial intelligence infrastructure market and could increase competitive pressure on Nvidia.

According to available reports, this effort will expand current business models such as Amazon’s custom silicon. trainium—Used primarily within Amazon Web Services (AWS). The company is now looking to make these chips available to other companies building their own AI infrastructure.

At first glance, this may seem like a natural evolution of AWS’s ecosystem strategy, but the broader implications are far-reaching. If Amazon commercializes its own AI accelerator, it would move from a closed cloud infrastructure vendor to a direct retail competitor in the semiconductor market currently dominated by Nvidia.

Long-term changes in technology demand structure

From Nvidia’s perspective, the primary threat is not the immediate risk of revenue loss, but fundamental shifts in market demand over the long term.

• Traditional hyperscaler model: For years, Nvidia’s exponential growth model relied on hyperscalers like Amazon, Microsoft, Google, and Meta acting strictly as bulk buyers of GPUs rather than direct competitors. This dynamic guaranteed great pricing power and insulation for NVIDIA.

• New dual competition era: Amazon’s entry into the merchant chip market accelerates a more complex model in which the cloud giant goes beyond leasing computing power to designing, building, and distributing alternative AI hardware stacks. In reality, Amazon will no longer be just a customer of Nvidia, but a partial competitor.

This trend reflects a macro shift across the technology industry. Hyperscalers are aggressively increasing their investments in custom silicon to protect against supply shortages, mitigate rising NVIDIA costs, and optimize efficiency for specialized internal workloads. The commercialization potential of these proprietary chips represents the next frontier of this strategy, moving beyond home consumption to capture open market share.

Strategic Alternatives to AWS Infrastructure

Amazon’s chip division is already growing dynamically under the AWS umbrella. The company is currently deploying a dual-track strategy of leveraging Nvidia’s cutting-edge systems while quickly iterating on its own architecture. This indicates that, rather than abandoning Nvidia in the short term, Amazon is systematically weaponizing secondary alternatives to strengthen its future supply independence.

The key question for Wall Street investors is whether this is simply an extension of internal AWS infrastructure optimization or the start of a broader corporate strategy in which Amazon aggressively competes with Nvidia for raw silicon sales to third-party data centers.

In the long term, the importance of this development goes far beyond Amazon’s new hardware revenue line. If successful, it could gradually erode Nvidia’s near-monopoly by structurally decentralizing how global AI infrastructure is designed, deployed, and used, rather than by direct price competition.

Current market situation

For now, NVIDIA’s competitive moat remains very deep. The company continues to define performance benchmarks for high-end AI acceleration, and much of its cloud ecosystem remains deeply tied to its proprietary CUDA software stack. Nevertheless, Amazon’s exploratory moves serve as another clear signal that the AI ​​hardware market is inexorably moving toward further fragmentation and deep vertical integration among mega-cap cloud providers.