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Citadel Securities is not just about the volume of financial transactions, but also about speed. Their cloud-based research environment uses TPUs to run workloads that used to take days, in just minutes.

The Keras team has released a new library for building recommender systems: KerasRS Easy-to-use building blocks (layers, losses, metrics...) to quickly assemble state-of-the-art RecSys pipelines. Compatible with JAX, PyTorch, TF, and optimized for TPUs. (Links in next tweet)

Google quietly released a powerful recommender systems library optimized for JAX and TPUs, based on Keras. It's called RecML. It has native support for SparseCore (latest hardware for handling large distributed embeddings)

Our AI for chip design method AlphaChip has transformed the way we design microchips. ⚡ From helping to design state-of-the-art TPUs for building AI models to CPUs in data centers - its widespread impact can be seen across Alphabet and beyond. Find out more →