NVIDIA CEO Jensen Huang unveils RAPIDS to accelerate data science; highlights auto, health advancements at GPU Technology Conference in Europe.
No matter the industry, data science has become a universal toolkit for businesses. Data analytics and machine learning give organizations insights and answers that shape their day-to-day actions and future … Read article >
Self-driving cars and Go-beating algorithms get most of the media attention, but businesses of all sorts can use AI to get better control of their operations and boost efficiency. Many … Read article >
Real-time ray tracing. The world’s most powerful AI system. The ability to simulate millions of self-driving car miles. NVIDIA announced transformative GPU-accelerated innovations at our GPU Technology Conference last month. … Read article >
For businesses trying to stay competitive, it’s not easy to learn from increasingly vast volumes of data, cope with the complexity of analysis or keep up with siloed analytics solutions … Read article >
Fueled by massive data. Driven by deep insights. Powered by lightning-fast GPUs. With the explosion of AI, traditional enterprise analytics solutions are no longer sufficient to handle massive amounts of data … Read article >
GPU-accelerated analytics applications are now available in the NVIDIA DGX container registry and NVIDIA GPU Cloud (NGC). These applications provide customers the ability to abstract insights in milliseconds, build models with … Read article >
NVIDIA today continued its support of the AI startup ecosystem with investments in three companies that are advancing the state of the art of GPU-accelerated data science. Acting through its … Read article >