Benchmark Tests Show Dramatic Advantages in Latency and Power-Efficiency Achieved by Innovative Design Approach Santa Clara, CA, USA, October 25, 2018 – NovuMind Inc., a leading innovator in full-stack Artificial Intelligence technologies, today released performance details of its NovuTensor AI chip, with class-leading power efficiency. NovuTensor, purpose-built for deep neural network inference computations, will expand the frontiers of AI by enabling mass deployment of AI inference models at the edge of the network. NovuMind has produced its first silicon chips and is releasing benchmark test results showing performance superior to the most advanced GPUs currently available for AI inference applications. The benchmark tests were run with a variety of networks including ResNet18, ResNet34, ResNet50, ResNet70, VGG16, and Yolo2. According to Dr. Ren Wu, founder and CEO of NovuMind, “Until now, GPUs have powered the advances in AI, particularly around the training of deep neural network models from large sets of data. Once models are trained, however, the challenge is to deploy them at scale. GPUs and other processors are expensive and consume large amounts of power. Their architectures are optimized for 2-dimensional matrix computation. While they perform well when processing large batches of data, these chips are not suited for real-time…More DetailsNovuMind Releases Details of Breakthrough AI Chip