TPC26 Conference logo

May 31-June 3, 2026 |  Baltimore, MD

TPC26, the Trillion Parameter Consortium's 2026 all-hands conference and exhibition, will convene AI leaders from industry, academia, and national laboratories along with the vendor community, funding agencies, and VCs, to develop best practices for utilizing AI for scientific discovery and engineering at scale.

See the list of Trillion Parameter Consortium (TPC) participating organizations.

TPC26 Keynoters

Dario Gil

Under Secretary for Science, Department of Energy
(Conference Keynote)

Katie Antypas

Director, Office of Advanced Cyberinfrastructure, US National Science Foundation

Rick Stevens

Associate Laboratory Director, Professor of Computer Science, Argonne National Laboratory

Satoshi Matsuoka

Director, RIKEN Center for Computational Science

LRZ and TPC have partnered to create a satellite location in Munich for those who cannot join us in Baltimore

See What Happened at TPC25 >

TPC26 will convene AI leaders globally from industry, academia, and national laboratories to explore collaboration across these sectors and internationally, with the goal of accelerating advances in AI to responsibly and safely address today’s scientific and engineering grand challenges.

The theme for TPC26 is to explore and pursue collaborations between industry and public sector AI research — national laboratories, universities, and institutes — including those building and utilizing AI capabilities, infrastructure, and applications.

Hackathon

May 31-June 1

General Conference

June 1-3

What is the Trillion Parameter Consortium?

The Trillion Parameter Consortium (TPC) is a global, community-driven, open initiative that brings together researchers, technical practitioners, educators, trainees, and other stakeholders working across the fields of AI and HPC. There are currently 82 active member organizations within TPC, and all organizations are encouraged to apply for membership.

TPC is a pioneering community dedicated to enabling large-scale AI for science and engineering. By building an open environment, nurturing diverse collaborations, and aligning resources with the evolving needs of the global scientific community, TPC advances the frontier of AI while adhering to principled, responsible, and transparent development.

TPC aims to advance and accelerate the responsible, open, and safe development of large-scale AI capabilities for scientific and engineering applications. Its community represents the intersection of AI and HPC, encompassing not only the science of AI and the use of AI for scientific discovery, but also the challenges of harnessing the necessary extreme scale systems spanning data and computation.

Sponsors

Foundation Sponsors

Platinum Sponsors

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Corporate Sponsors

Institutional Sponsors

Argonne National Lab logo
Berkeley Lab logo
Oak Ridge National Lab logo
RIKEN R-CCS logo

Non-Profit Sponsor

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