To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.
NVIDIA launched four inference platforms optimized for a diverse set of rapidly emerging generative AI applications — helping developers quickly build specialized, AI-powered applications that can deliver new services and insights.
Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, today at NVIDIA’s GTC, a global conference on AI and the Metaverse, announced powerful new updates giving every enterprise access to cutting-edge open-source tools and techniques to achieve AI value sooner.
Zilliz, the inventor of the open-source vector database Milvus, announced the launch of Milvus 2.3, featuring NVIDIA GPU support for greater flexibility and dramatic improvements in real-time workload performance.
NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the powerful GPU for AI — to address rapidly growing demand for generative AI training and inference.
In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
In this video presentation from our friends over at Monte Carlo we have an all-woman panel to discuss the process of measuring data team ROI, specifically how to track and scale the impact of data teams.
In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how AI can help limit human error and improve data analysis accuracy. Explore how AI is fixing human error in data analytics and revolutionizing how we approach this critical field.
Here is Greg Brockman, President and Co-Founder of OpenAI, for a March 14, 2023 developer demo showcasing GPT-4 and some of its capabilities/limitations. Included are a number of very compelling new use case capabilities over the previous GPT-3.5 version.