Today, open engineering consortium MLCommons released a new benchmark, MLPerf Tiny Inference to measure trained neural network AI inference performance for low-power devices in small form factors. MLPerf Tiny v0.5 is MLCommons’s first inference benchmark suite for embedded device machine learning, a growing field in which AI-driven sensor data analytics is performed in real-time, close […]
Many industries are starting to run HPC in the cloud. Find out how GPU-accelerated compute, from AWS and NVIDIA, is helping organizations run HPC workloads and AI/ML jobs faster, in a more energy-efficient way.
In this insideHPC Guide, our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.
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