Led by: Vladimir Galabov, Senior Analyst, Data Center Compute
Artificial intelligence (AI) algorithms, machine learning (ML), and scientific computing are among 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 which one, and with which server architecture. Servers with general purpose parallel compute co-processors (FPGAs, GPGPUs, TPU, NNP) will likely become mainstream by 2020, representing 11% of all servers shipped. Could programmable co-processors also hold the key to the increasing array of security threats? This webinar will explore architectural options, matching workloads with specific co-processors, and successful deployment use cases.
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