Introducing a free academic plan for research teams — our small token of support for graduate students and faculty members — The increasing complexity in machine learning models and datasets is a challenge not just for industry but also for academia. In response, top universities are investing heavily in high-performance computing systems to further scale their research infrastructures. Some are building GPU servers at enterprise-scale — Stanford Research Computing Center, for…

Announcing our $4.4M seed round and sharing what’s next — How we got here AI-driven competitive advantage is no longer the future. It’s now. However, companies are still struggling to deliver the full business value of machine learning beyond experimentation. Models and datasets, and the required infrastructures to handle them, are more complex than ever before. …