Google Pathways Explained | #GoogleCloudNext #LLM #GoogleCloud #Shorts

Key Concepts: Pathways, Google Ecosystem, Distributed Computing, TPUs, JAX, Google Cloud, Foundational Models, Gemini, Training, Inference.

Pathways in the Google Ecosystem

The video explains Pathways, a system developed within Google, for individuals unfamiliar with it. Pathways facilitates distributed computing at scale, specifically for both training and inference of machine learning models.

Pathways Availability on Google Cloud

Originally published in 2017, Pathways is now accessible for use with Tensor Processing Units (TPUs) and JAX on Google Cloud. This allows users to leverage Google's research and infrastructure for training foundational models.

TPUs and Foundational Models

By utilizing TPUs in conjunction with Pathways, users can harness the full potential of Google's research advancements in training large-scale foundational models, such as Gemini. This implies that Pathways is designed to optimize the performance of TPUs when working with complex models.

Synthesis/Conclusion

The video highlights the availability of Pathways on Google Cloud, enabling users to leverage Google's infrastructure and research in distributed computing, particularly for training and inference of foundational models like Gemini using TPUs and JAX. The key takeaway is the accessibility of a powerful tool for large-scale machine learning tasks within the Google Cloud ecosystem.