Led by: Vladimir Galabov, Senior Analyst, Data Center Compute
AI algorithms, ML, and scientific computing are amongst the most demanding and fastest-growing server workloads. It is no longer a question of whether co-processors are needed for AI, ML, or data analytics on large unstructured IoT data sets, but rather which one and what server architecture is best. Servers with general purpose parallel compute co-processors (FPGAs, GPGPUs, TPU, NNP, etc.) are expected to become mainstream by 2020, representing 11% of all servers shipped. This webinar will explore architectural options, matching workloads with specific co-processors, and will provide use cases showcasing successful deployments.
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