Accelerate with purpose
Today’s computing hardware has taken us well into the resurgence of AI, but with the demand for AI compute doubling nearly every three months, new ways of computing are required that can keep up and evolve.
Walter Riviera details three key shifts in the AI landscape—incredibly large models with billions of hyperparameters, massive clusters of compute nodes supporting AI, and the exploding volume of data meeting ever-stricter latency requirements—how to navigate them, and when to explore hardware acceleration.
Walter Riviera is an AI technical solution specialist (TSS) covering EMEA at Intel, playing an active role on most of the AI project engagements within the data centers business in Europe. He’s responsible for increasing business awareness regarding the Intel AI offer, enabling and providing technical support to end user customers, independent software vendors (ISVs), original equipment manufacturers (OEMs), partners in implementing high-performance computing (HPC) and/or cloud solutions for AI based on Intel’s products and technologies. Previously, Walter collected research experience working on adopting ML techniques to enhance image-retrieval algorithms for robotic applications, conducting sensitive data analysis in a startup environment, and developing software for text-to-speech applications.
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