OpenAI Appoints Raghav Gupta to Lead Education in India and APAC
OpenAI has appointed Raghav Gupta, the former Asia Pacific Managing Director at Coursera, to lead its education division for India and the Asia-Pacific (APAC) region. This strategic move is part of OpenAI's broader expansion efforts in India, where the company plans to establish its first office in Delhi.
The announcement was made during the OpenAI Education Summit in New Delhi, where Leah Belsky, OpenAI's Vice President and General Manager for Education, highlighted the company's commitment to enhancing AI education in the region. Gupta's role will involve working closely with local teams to drive the adoption and responsible use of OpenAI's products across key audiences.
In addition to Gupta's appointment, OpenAI has launched a Learning Accelerator program in partnership with the Ministry of Education and the All India Council for Technical Education (AICTE). The initiative aims to provide educators with access to OpenAI's latest model, ChatGPT 5.0, to train students and teachers across India. Furthermore, OpenAI has announced a $500,000 grant to IIT Madras to support research on AI's impact on education.
These developments underscore OpenAI's focus on India as a critical market for AI growth, with plans to further invest in the country's burgeoning AI ecosystem.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.
Also, consider following us on social media:
More from AI in Education
Sep 19 Zūm's AI Student Transport Platform Earns Fast Company Design Honor Sep 19 Rutgers and RWJBarnabas Health Launch AWS Health Innovation Hub Sep 19 Florida approves AI rules for public schools and colleges Sep 19 ETERC Introduces Ele AI Mentor for Engineering Education Sep 19 Robots & Pencils Publishes Higher Education AI Governance SeriesAI in Education
Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Fractal Analytics Creates India Business Unit for Enterprise AI
Andela Joins OpenAI Partner Network as Select Partner
Avathon and IIT Roorkee Plan Physical AI Lab
Injini Opens Applications for Southern Africa AI Education Program
OpsGuru Names Tim Currie President
Daily AI Brief: the AI news that matters, in your inbox.