https://insideainews.com/tag/accelerated-computing/ Illuminating AI's Frontiers: Your Go-To News Destination. Thu, 21 Mar 2024 21:25:08 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/accelerated-computing/ 32 32 136462205 https://insideainews.com/2024/03/21/kinetica-delivers-real-time-vector-similarity-search/ https://insideainews.com/2024/03/21/kinetica-delivers-real-time-vector-similarity-search/#respond Thu, 21 Mar 2024 21:25:07 +0000 https://insidebigdata.com/?p=35024 Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark.]]> https://insideainews.com/2024/03/21/kinetica-delivers-real-time-vector-similarity-search/feed/ 0 35024 https://insideainews.com/2022/08/02/neuroblade-delivers-technology-to-eliminate-the-current-data-analytics-gap/ https://insideainews.com/2022/08/02/neuroblade-delivers-technology-to-eliminate-the-current-data-analytics-gap/#comments Tue, 02 Aug 2022 14:00:00 +0000 https://insidebigdata.com/?p=29971 NeuroBlade is on a mission to empower the next wave of digital transformation by developing the new standard for analytics acceleration for large data. It's increasingly complex, expensive, and time-consuming for organizations to analyze large data volumes. As a result, business and technology leaders cannot rely on price performance when querying and analyzing hundreds of terabytes of data. This creates an analysis gap where less than two-thirds of the data is analyzed.]]> https://insideainews.com/2022/08/02/neuroblade-delivers-technology-to-eliminate-the-current-data-analytics-gap/feed/ 1 29971 https://insideainews.com/2022/07/25/runai-releases-advanced-model-serving-functionality-to-help-organizations-simplify-ai-deployment/ https://insideainews.com/2022/07/25/runai-releases-advanced-model-serving-functionality-to-help-organizations-simplify-ai-deployment/#respond Mon, 25 Jul 2022 19:20:38 +0000 https://insidebigdata.com/?p=29928 Run:ai, a leader in compute orchestration for AI workloads, announced new features of its Atlas Platform, including two-step model deployment — which makes it easier and faster to get machine learning models into production. The company also announced a new integration with NVIDIA Triton Inference Server. These capabilities are particularly focused on supporting organizations in […]]]> https://insideainews.com/2022/07/25/runai-releases-advanced-model-serving-functionality-to-help-organizations-simplify-ai-deployment/feed/ 0 29928 https://insideainews.com/2021/06/29/how-accelerated-computing-is-transforming-data-science/ https://insideainews.com/2021/06/29/how-accelerated-computing-is-transforming-data-science/#respond Tue, 29 Jun 2021 13:00:00 +0000 https://insidebigdata.com/?p=26551 In this contributed article, Scott McClellan, head of Data Science at NVIDIA, discusses how big companies, and startups increasingly use software to speed decision-making in creating new products and services. Businesses can use AI to learn from massive amounts of data captured from a broad range of sensors and sources, but none of this knowledge can be gained without processing these volumes of data.]]> https://insideainews.com/2021/06/29/how-accelerated-computing-is-transforming-data-science/feed/ 0 26551