PyTorch Foundation names 24 ambassadors for 2026 across five regions

A cohort spanning five regions

The 2026 group includes ambassadors from Nigeria and Burkina Faso to Singapore, India, Romania, Spain, the United Kingdom and the United States, according to the PyTorch Foundation. The program is split into five regions: Africa, Asia, Europe, the Middle East and North America.

Africa has the largest delegation, with seven ambassadors from Nigeria, Burkina Faso, Uganda, Egypt, the Democratic Republic of Congo, South Africa and Kenya. Asia has seven as well, covering the Philippines, Singapore, Malaysia and India. Europe has three ambassadors, from Romania, Spain and the United Kingdom. The Middle East has four, with ambassadors listed for Egypt, Armenia and Turkey. North America has three, all in the United States.

The Foundation says the ambassadors bring experience in AI research, software and infrastructure engineering, technical education, open source maintenance and community organizing. Some work on AI systems, model training and infrastructure, while others focus on documentation, workshops, mentoring or applications that address challenges in their own communities.

What ambassadors do

The program is meant to expand awareness, adoption and participation across the Foundation's ecosystem through education, mentorship, technical content, community events and open source contributions. The Foundation describes the aim as creating entry points at different levels: a first hands-on workshop for someone new to PyTorch, or for an experienced developer a chance to find a new project, meet maintainers or make a first open source contribution.

The Foundation supports more than the core PyTorch framework. Its ecosystem includes projects such as vLLM, DeepSpeed, Ray, Helion and Safetensors, which span model training, inference, distributed computing, performance optimization and model sharing. Ambassadors are expected to help developers discover these projects, understand their practical uses and find ways to contribute.

Examples given in the announcement include organizing an introductory PyTorch workshop for students, helping developers explore scalable inference with vLLM, introducing engineers to distributed AI technologies, or writing technical content that makes complex concepts easier to follow.

Ambassadors on why they joined

The post includes statements from three ambassadors. Özge Çinko of Turkey said that contributing to PyTorch documentation showed her "how even a small contribution can become part of something much bigger."

Farah Abdou of Egypt said she learned most of what she knows about building AI from open source communities, and wants to give back by "teaching, mentoring and bringing more engineers from Egypt and Africa into the PyTorch ecosystem."

Mu Xiaohui, who represents Singapore and Malaysia, said she wants to help more developers become open source contributors through hands-on education and mentorship, "while bringing the PyTorch and vLLM communities closer together in Singapore and across Asia-Pacific."

What it means for the community

For developers, students and researchers, the main effect will be more local points of contact with the Foundation's projects. Over the coming year, the Foundation says, ambassadors will create opportunities to learn, connect and contribute, and will introduce new audiences to PyTorch Foundation communities and related projects.

The announcement does not give event schedules or targets. Those interested can find more information on the Foundation's ambassador program page at pytorch.org/programs/ambassadors.