Google dives into the 'supercomputer' game by knitting together purpose-built GPUs for large language model training
AI scientists and anyone with very big computation needs will now be able to turn to Google’s cloud to rent machines that may deliver as much as 26 exaFLOPs. The new cloud offerings, detailed at today’s keynote speech at Google I/O 2023, are options that resurrect that Cold War era nomenclature of “supercomputers” because of their extraordinary capabilities and focus on very big tasks.
Data science vs. software engineering: Key comparisons
Data science and software engineering are two important functions in managing the ever greater data flows in an organization. As the terms connote, data science is more focused on applying scientific principles to the analysis of data, while software engineering focuses on applying the principles of engineering to the design and implementation of the related software systems.