AI workloads process massive amounts of data from structured and unstructured sources. Turn to high-performance, architecturally optimised solutions that can harmoniously exist within existing data centers.
In a data-rich world, shared data is infinitely more valuable than stored data. Pure accelerates modern analytics and AI workloads, delivering a single, scale-out storage platform that drives time to insight for data-driven businesses.
AI is transforming business everywhere. But data doesn’t analyse itself, and legacy systems often can’t support the massive AI data pipelines required for modern analytics. Pure brings a massively parallel platform, capable of delivering ultra-fast, all-flash performance, to billions of objects and files.
Data is stuck in 20th-century infrastructure and sprawling silos, but it’s also the lifeblood of AI. From data capture to neural network training, Pure is built from the ground up to deliver a single, scale-out storage platform that consolidates AI workloads.
Recognized as the “Best AI Solution for Big Data” by the AI Breakthrough Awards. Pure offers simple and flexible AI-first infrastructure with the ability to flexibly adapt to demands for AI— launching enterprises into a new era by enabling faster innovation and a competitive edge for AI initiatives.
for Distributed File Systems and Object Storage
Explore innovation possibilities with AI and how a scale-out storage platform that consolidates AI workloads is making them happen—including helping to enable one of the world’s fastest AI supercomputers.
FlashArray and FlashBlade provide a robust and scalable storage solution for Meta’s RSC.
Artificial intelligence (AI) is a branch of computer science concerned with creating self-learning systems that can perform tasks that normally require human intelligence. From self-driving cars to predicting the future, AI is revolutionising the ways in which we can use data to shape our world.
AI can power your data analytics pipeline in a number of ways—from processing unstructured data like streaming video feeds to powering advanced predictive analytics tools. AI algorithms can give your analytics capabilities the boost you need to remain competitive.
AI and big data have a symbiotic relationship where both are generally better together. The bigger and higher quality the training data set, the smarter the AI will become. On the flipside, big data analytics pipelines can leverage AI to efficiently process large quantities of unstructured data spread across multiple siloed environments.
The difference between AI, machine learning (ML), and deep learning (DL) lies in the scope of specificity:
AI deals broadly with building computer systems that can learn on their own.
ML is a subset of AI that deals with algorithms that can self-learn from training data.
DL is a subset of ML that deals with neural networks—specifically those that have more than one “hidden” layer between the input and output layers of the network.
We work with the best across all industries.
“Pure gives us credibility as we take on transformative AI initiatives for clients.”
The computing speed of analysing medical data has been greatly increased after introducing AIRI.
Let’s talk. Book a 1:1 meeting with one of our experts to discuss your specific needs.
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Schedule a live demo and see for yourself how Pure can help transform your data into powerful outcomes.
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