Ren Wu’s blog

Being a Full-Stack Company

Every technology startup faces the question of whether to focus on a core technology piece vs. a full-stack solution. NovuMind is bringing a full-stack AI solution set to our customers. We’re in a period where AI is suddenly a top priority for every industry. It’s an exciting time. But unless your company is a Facebook or Google, with in-house AI expertise, how will you seize the new opportunities brought by AI?  How will you keep up with your competition, who may be embedding the powers of perception and decision-making into their upcoming products? We will be happy to sell you our NovuTensor chip for these applications. But we know that you probably need more from us than just the chip. You are looking for a complete solution. This is the essence of “whole product” strategy that the Silicon Valley marketing guru Bill Davidow made famous. When he was at Intel, this meant providing more than just the microprocessor. Customers needed development tools, training, and an ecosystem of supporting technology. Years later, NVIDIA followed a similar strategy, building out the CUDA ecosystem to accelerate GPU adoption. Making AI easy to use is part of our vision. We want to empower all…More DetailsBeing a Full-Stack Company


NovuMind AI Software Powers Medical Supercomputer

Santa Clara, CA, USA, July 9, 2018 – NovuMind Inc., a leading innovator in full-stack Artificial Intelligence technologies, today announced its participation in the Shennong Supercomputer Project in the city of Chengdu. The Shennong Supercomputer, named after the legendary figure credited with inventing Chinese medicine, is a powerful platform dedicated to training AI deep learning models for diagnostic imaging and medical research. The system utilizes software originally developed by NovuMind for training of deep learning models on its NovuStar distributed AI training platform[1]. NovuMind’s founder and CEO, Dr. Ren Wu, was involved in the design of the Shennong system and was in Chengdu for the public announcement and demonstration. Dr. Wu commented that computational power and the availability of training data are the critical resources that will drive deployment of AI solutions. Fortunately, in the field of medicine there is a vast amount of data available, from many years’ worth of medical records and images, that can be mined to train AI models. But the effective training of models on this data is computationally intensive. Powerful computers such as Shennong help unlock the value of this data. Dr. Wu presented a benchmark test showing how the system is able to…More DetailsNovuMind AI Software Powers Medical Supercomputer