Training machine learning models requires feeding input data for models to
ingest. Input pipelines for machine learning jobs are often challenging to
implement efficiently as they require reading large volumes of data, applying
complex transformations, an... (more…)
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In response to innovations in machine learning (ML) models, production
workloads changed radically and rapidly. TPU v4 is the fifth Google domain
specific architecture (DSA) and its third supercomputer for such ML models.
Optical circuit switches (OCSes) ... (more…)
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Training and deploying AI models is often associated with massive data centers or super computers, with good reason. The ability to continually process, create, and improve models from all kinds of information: images, video, text, and voice, at massive s... (more…)
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