Data Science

AI deployments thrive on speed, data and scale. That’s why NVIDIA is expanding NVIDIA-Certified Systems to include enterprise storage certification — for streamlined AI factory deployments in the enterprise with accelerated computing, networking, software and storage. As enterprises build AI factories, access to high-quality data is imperative to ensure optimal performance and reliability for AI Read Article

Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. That massive, continuous flow of data generated by base stations, routers, switches and data centers — including network traffic information, performance metrics, configuration and topology — is unstructured and complex. Not surprisingly, traditional Read Article

Tens of thousands of companies worldwide rely on Apache Spark to crunch massive datasets to support critical operations, as well as predict trends, customer behavior, business performance and more. The faster a company can process and understand its data, the more it stands to make and save. That’s why companies with massive datasets — including Read Article

From Seattle, Washington, to Cape Town, South Africa — and everywhere around and between — AI is helping conserve the wild plants and animals that make up the intricate web of life on Earth. It’s critical work that sustains ecosystems and supports biodiversity at a time when the United Nations estimates over 1 million species Read Article

Businesses across every industry are rolling out AI services this year. For Microsoft, Oracle, Perplexity, Snap and hundreds of other leading companies, using the NVIDIA AI inference platform — a full stack comprising world-class silicon, systems and software — is the key to delivering high-throughput and low-latency inference and enabling great user experiences while lowering Read Article