Optimize GenAI Applications with Retrieval-augmented Generation from Pure Storage and NVIDIA
In this article, we look at how retrieval-augmented generation (RAG) can be used for...
Read PostAI and machine learning workloads require GPUs, specialized processors that process massive amounts of data from structured and unstructured sources. Maximize GPU efficiency and ROI with high-performance, architecturally optimized solutions. The Pure Blog will keep you up to date on the latest in AI and machine learning trends, what they mean for IT, and how data infrastructures can deploy the latest trends to be ready for whatever comes next.
In this article, we look at how retrieval-augmented generation (RAG) can be used for...
Read PostPure Storage has achieved storage partner validation for NVIDIA OVX servers powered by NVIDIA...
Read PostWhile the path to autonomous driving has not been a straight line, some companies...
Read PostAI enthusiasts from around the world will be at NVIDIA GTC 2024, taking place...
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Read PostIn collaboration with Bredin Research, we conducted a survey of IT decision makers around...
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Read PostIn a recent Gestalt IT podcast, Justin Emerson and his co-panelists discussed how disruptive...
Read PostElectronic design automation (EDA) chipmakers are struggling to keep up with the rapid growth...
Read PostThe difference between Pure Storage AIRI and other solutions is of course the Pure Storage components of the stack and our top-ranked Pure Storage customer experience.Senior technology, product and solutions marketing leader
2024 promises to be a pivotal moment in the AI journey. In this article,...
Read PostVideo games have always been a testing ground and showcase for technology. We sat...
Read PostIn video games, experience and data never take a back seat. We look at...
Read PostToday, Pure Storage and Cisco announced FlashStack for AI, a joint solution intended to...
Read PostIn cybersecurity, AI can help us, but it can lend a hand to the...
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