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Eliminate data silos with a single, high-performance platform. Unify your data across preparation, training, and inference, so your models always access the right data at the right time.
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Ensure non-stop AI performance with 99.9999% uptime, non-disruptive upgrades, and on-demand scalability.
Deliver industry-leading performance with proven metadata capabilities. FlashBlade//EXA™ simplifies management at scale and supports AI innovation with a highly configurable and disaggregated architecture.
85%
20X
36%
Streamline your AI infrastructure and reduce the number of tools required, simplifying storage management while automating storage deployment and configuration.
96%
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AI storage is a storage infrastructure and solution that is designed and optimised to support the needs of AI applications and development workflows. AI involves the processing of large datasets and the training of complex models, which requires substantial storage capacity, high-speed data access, and efficient data management.
Generative AI (GenAI) is the application of machine learning algorithms to large data sets to generate content, such as text, images, audio, and video. Popular GenAI tools include ChatGPT, DALL-E, Bard, and Midjourney.
Retrieval-augmented generation (RAG) optimises the output of large language models (LLMs) by consulting an authoritative knowledge base outside of its original training data before generating a response, effectively extending its capabilities beyond its original training data. RAG is a cost-effective way to improve LLM outputs for specific domains, by leveraging an internal database of proprietary, custom data.
The most important attribute for AI storage is performance agility. AI storage must have the ability to grow from a few hundred gigabytes to petabytes, perform well with rapidly changing mixed workloads, serve data to training and production clients simultaneously throughout a project’s life, and support the data models used by project tools. The additional attributes of an ideal AI storage solution are: capacity flexibility, availability and data durability, space and power efficiency, support for data models, security, and operational simplicity.
1 2024 Pure Storage and Vanson Bourne market research study of 1,500+ relevant decision makers.
2 2023 Pure Storage and Wakefield Research market research study of 500 relevant decision IT buyers.
