Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language. Unlike with public LLMs, no external API …

Kinetica Launches Native Large Language Model for Language-to-SQL on Enterprise Data   Read more »

Anyscale, the AI infrastructure company built by the creators of Ray, the world’s fastest-growing open-source unified framework for scalable computing, today announced a collaboration with NVIDIA to further boost the performance and efficiency of large language model (LLM) development on Ray and …

Anyscale Teams With NVIDIA to Supercharge LLM Performance and Efficiency Read more »

Chip Huyen, co-founder of Claypot AI and author of O’Reilly’s best-selling “Designing Machine Learning Systems” joins our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, to share her expertise on designing production-ready machine learning applications, …

Video Highlights: Designing Machine Learning Systems — with Chip Huyen Read more »

DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced impressive performance results of its AI storage platform for the inaugural AI storage benchmarks released this week by MLCommons Association. The MLPerfTM Storage v0.5 benchmark results confirm DDN …

DDN Storage Solutions Deliver 700% Gains in AI and Machine Learning for Image Segmentation and Natural Language Processing Read more »

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KX, a pioneer in vector and time-series data management, has announced the general availability of KDB.AI Cloud, a vector database for real-time contextual AI. Quick and easy to set up and use, this free, cloud-based version of KDB.AI, the leading vector database , has been designed with a …

KX Announces KDB.AI Cloud: The Free, Smarter Vector Database for AI Read more »