Boltz-1 is the first truly open-source biomolecular structure prediction model developed by researchers at the MIT Jameel Clinic for Health Machine Learning. Its accuracy is comparable to that of AlphaFold3. Named after the Boltzmann distribution, it serves as a probabilistic measure for describing the distribution of molecular structures. The development of Boltz-1 aims to foster innovation beyond academia and support commercial applications. Led by PhD students Jeremy Wohlwend, Gabriele Corso, and MIT Jameel Clinic researcher Saro Passaro, it was guided by MIT Electrical Engineering and Computer Science (EECS) professors Regina Barzilay and Tommi Jaakkola. Boltz-1 faced challenges regarding scale and data processing but ultimately constructed the necessary computational capacity, laying the foundation for standardizing structural biology research practices, with the potential to accelerate the creation of life-changing drugs.