Key Takeaways
- Gadi Hutt, who led product and customer engineering at Annapurna Labs, has exited Amazon
- Hutt played a critical role in developing Amazon’s Trainium AI chip technology
- This marks the second departure of a senior Annapurna leader within seven months
- Rami Sinno left for Arm (ARM) in August 2025; AGI leader Rohit Prasad also departed by year-end 2025
- AMZN shares dropped 2% on Thursday; still up 3% year-over-year
Amazon (AMZN) saw its shares decline 2% during Thursday’s trading session.
According to The Information, Gadi Hutt, who served as director of product and customer engineering at Annapurna Labs, has departed from Amazon. Hutt represented one of the prominent figures spearheading Amazon’s Trainium AI chip development efforts.
Back in 2015, Amazon acquired Annapurna Labs—a chip startup based in Israel—for $350 million. Since then, the division has emerged as a critical component of Amazon’s strategy to manufacture proprietary semiconductors and reduce dependence on external chip vendors.
Hutt’s exit follows another significant departure from a senior position at Annapurna just seven months earlier. In August 2025, Rami Sinno left Amazon and joined Arm Holdings (ARM).
Losing two prominent chip executives within such a short timeframe raises questions about the stability of the division.
Beyond the chip division, the departures extend further. Rohit Prasad, who held the position of senior vice president and chief scientist for artificial general intelligence at Amazon, also left the company by the close of 2025.
Leadership Exodus Continues
The wave of departures impacts various segments of Amazon’s artificial intelligence infrastructure—from the semiconductor development team at Annapurna to the overarching AGI research initiatives previously led by Prasad.
Amazon has remained silent regarding these exits, offering no official statement, and the specific motivations behind each departure remain undisclosed.
Trainium represents Amazon’s proprietary semiconductor solution engineered specifically for AI training applications, positioning itself as a cornerstone of the company’s initiative to construct cloud infrastructure less reliant on Nvidia’s technology.
Given Hutt’s responsibilities in product and customer engineering, his involvement was crucial in determining how Trainium semiconductors were designed, refined, and delivered to clients.
Intense Competition for Expertise
The battle for skilled AI chip professionals has intensified throughout the technology sector, with leading tech corporations, emerging startups, and established semiconductor manufacturers all vying for the same limited talent pool of engineers and product strategists.
Sinno’s transition to Arm demonstrates how rapidly elite professionals can move between competing organizations within this specialized field.
Amazon’s Annapurna Labs division has functioned as a cornerstone for its AWS cloud business, which depends on proprietary chips to deliver distinctive solutions to corporate clients.
Trainium chips have been marketed as a budget-friendly substitute for Nvidia’s GPUs when handling AI training operations.
Despite Thursday’s 2% decline following the news, AMZN stock has gained 3% over the trailing 12-month period.
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