Apple s Ternus era begins as Nvidia bets on the whole AI stack

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-04T16:05:12.852Z • Permanent link

Apple's Ternus era has officially begun, marking a significant shift in the company's AI strategy. Ternus, named after Ada Lovelace, the world's first computer programmer, is a new chip designed to accelerate machine learning tasks. This innovation is the result of a collaboration between Apple and Nvidia, a leading manufacturer of AI computing hardware. The partnership has been years in the making, with Nvidia providing Apple with custom-designed Ternus chips for use in Apple's AI-powered products.

Ternus is not just a new chip; it represents a fundamental change in Apple's approach to AI. The company has been investing heavily in AI research and development, with a focus on creating more powerful and efficient AI chips. This effort has been led by Apple's SVP of Hardware Technologies, Johny Srouji, who has been instrumental in driving the development of Ternus. The new chip is expected to play a critical role in Apple's future AI-powered products, including its rumored AR glasses and next-generation iPhones.

Apple's partnership with Nvidia has significant implications for the broader AI ecosystem. The collaboration highlights the growing importance of custom-designed AI chips, which can offer significant performance and efficiency gains over off-the-shelf solutions. Nvidia's involvement also underscores the company's commitment to the development of the AI stack, which includes not just hardware but also software and algorithms. As the AI market continues to grow and mature, partnerships like this one are likely to become increasingly important.

Ternus is not just a new chip; it represents a significant shift in the balance of power between Apple and Nvidia. The partnership has given Nvidia a major boost in the AI chip market, where the company has been a leading player for years. However, the partnership also raises questions about the long-term implications for Nvidia's business model. Will the company be able to maintain its position as a leading manufacturer of AI chips, or will Apple's investment in custom-designed chips pose a threat to its dominance?

The implications of Ternus for the broader research community are also significant. The new chip is expected to accelerate the development of AI applications in areas such as computer vision and natural language processing. Researchers at institutions such as Stanford and MIT have already begun exploring the potential of Ternus for AI applications, and the partnership is likely to drive further innovation in the field. As a result, the Ternus partnership has significant implications for the broader research community, which is likely to see significant advances in AI capabilities over the coming years.

Nvidia's commitment to the development of the AI stack has also significant implications for the broader market. The company's investment in custom-designed chips and software is likely to drive the development of more powerful and efficient AI applications, which will have a major impact on industries such as healthcare, finance, and transportation. As a result, the Ternus partnership is likely to have significant implications for the broader market, which is likely to see significant growth and innovation over the coming years.