Amazon.com Inc. is exploring the sale of its proprietary Trainium artificial intelligence chips to external companies, marking a strategic expansion beyond its Amazon Web Services (AWS) ecosystem. The initiative aims to compete directly with NVIDIA Corp. in the AI infrastructure market by leveraging custom silicon designed for specific cloud and AI workloads. This move could establish a new revenue stream for Amazon while addressing growing demand for sovereign AI infrastructure outside the United States.

Amazon AI chief Peter DeSantis confirmed that discussions with potential customers have begun, though specific partners were not disclosed. "We view AI infrastructure as rapidly evolving," DeSantis said. "And we're constantly looking at ways to get to more customers." He noted that selling Trainium chips outside AWS would not cannibalize the cloud business due to significant "underconsumption in AI."

Chip Availability and Customer Interest

The company reported strong demand for its hardware, with third-generation Trainium chips already "largely sold out." Customer interest is reportedly building for the fourth-generation chips expected next year. Current users of Trainium technology through AWS include OpenAI, Anthropic, and Uber Technologies. The expansion targets third-party data centers, positioning Amazon as an alternative to NVIDIA's general-purpose offerings.

Market and Technical Context

The announcement coincided with a broader rally in technology stocks, which saw the Nasdaq Composite gain 2.3% and the S&P 500 advance 0.8%. Amazon shares rose 2.55% to $243.56 on the news. Despite the positive sentiment, technical indicators present a mixed picture; the stock trades above its 100-day and 200-day moving averages but remains below its 20-day and 50-day averages. Analysts maintain a consensus Buy rating with an average price target of $320.86.

Upcoming Earnings and Analyst Actions

Amazon is scheduled to report second-quarter results on July 30. Wall Street projects earnings of $1.81 per share on revenue of $196.03 billion, up from $1.68 per share and $167.70 billion respectively a year prior. Recent analyst adjustments include Truist Securities raising its price target to $320, Wells Fargo lowering its target to $312, and TD Cowen maintaining a $350 target.

Amazon Web Services (AWS) is signaling that plunging AI costs will drive a massive surge in workload volumes, a shift poised to expand Amazon.com Inc.’s operating margins significantly. As enterprise computing expenses rapidly plummet, the cloud giant is moving away from costly experimentation and toward lucrative, high-volume enterprise production. This transition addresses investor concerns regarding heavy capital expenditures by promising improved returns on investment.

Cost Dynamics and Margin Expansion

In an interview at the AWS Summit in New York, Chief AI and Technology Officer Matt Wood stated that the cost of capable AI models is dropping dramatically. While the absolute cutting edge of AI remains expensive, the cost of a standardized level of intelligence is decreasing by “one or two orders of magnitude” roughly every six months. Wood advises enterprises that they do not need to chase the most expensive, state-of-the-art models to succeed. By standardizing “off the frontier,” companies can maintain a high probability of success while reducing costs.

Because these workloads are getting “cheaper and cheaper and cheaper,” AWS can aggressively lower prices to capture massive transaction volumes. This strategy is designed to drive immense, high-margin scale for Amazon’s cloud business, directly benefiting the company’s bottom line.

Automating Operational Friction

These plummeting costs allow companies to automate labor-intensive cloud tasks that Wood describes as “undifferentiated plumbing.” By reducing these operational friction points, AWS increases its platform stickiness. Wood emphasized that AWS wants clients spending less time on basic data handling and more on high-judgment decisions, noting that “humans make much better plumbers than they do plumbing.”

AWS Continuum Launch

To demonstrate this high-volume, automated strategy, Amazon unveiled “AWS Continuum,” a model-agnostic cybersecurity platform. Previously, AI security scans generated so many vulnerabilities that they placed a “huge amount of back pressure” on software engineering teams. Continuum eliminates this bottleneck by automatically testing and applying patches in safe sandboxes. This automated efficiency allows enterprise workloads to scale seamlessly, further cementing AWS’s long-term margin profitability.

Stock Performance