Scaling modern analytics and AI workloads depends heavily on infrastructure performance, especially as parallel experimentation and automated modeling continue to expand. In this session, you’ll see how SAS Viya is optimized for Google Cloud using Intel’s latest processors to deliver faster model training, scoring, and large-scale analytics. The discussion highlights how advancements in CPU architecture, memory handling, and distributed processing can significantly reduce runtime while supporting increasingly complex AI workflows. Real-world benchmarks demonstrate substantial performance gains and improved cost efficiency for organizations running high-throughput analytics in the cloud.
Presenters: Joshua Griffin, SAS, Vijay Bandari, Intel Corporation, and Brooks McCluskey, Google Cloud
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