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Artificial Intelligence

AI Storage Solutions that Drive Efficiency

Optimise AI development with Pure Storage's AI Storage Solutions. Streamline data curation, training, and inference for peak efficiency and performance.

Accelerate, Automate, and Future-proof Your AI Workflows

Drive innovations in AI with a storage platform that optimises GPU compute and networking. Leverage Pure Storage solutions to automate access to data sources, storage resources, and data services so your models can be trained in days, not months.

Accelerate AI-driven Insights

Accelerate turnaround times across end-to-end AI workflows with a modern shared storage architecture that provides a consistent experience across deployment, management, upgrades, and support. You can scale granularly in right-size increments on-demand to deliver multidimensional performance for any data.

Automate Access to Data and Persistent Storage

Pure automates the delivery of persistent storage resources to run AI workloads in containerized environments. Experience  the highest levels of availability and portability, along with data services such as governance, RBAC, backup, and restore. Data pipeline-as-a-service further improves data scientist productivity.

Future-proof Your AI Storage

Keep your massive repository data sets needed for future training on all-flash capacity-optimised storage at the cost of disk. Accelerate deployment with proven and certified reference architectures. Your AI investments are protected with subscription services that give you the latest hardware and software capabilities non-disruptively.

What is AI Storage?

AI storage is a storage infrastructure and solution that is designed and optimised to support the needs of artificial intelligence (AI) applications and AI 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.

People also ask:

1. What are AI workloads?

AI workloads are specific tasks and computations that artificial intelligence (AI) systems perform to accomplish various goals. These workloads cover a wide range of applications and use cases, relying on various AI processes and algorithms.

2. Does AI require big data?

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.

3. What considerations are there for AI at scale?

Cloud or legacy infrastructure is often used for early AI development or proof of concept, but when AI is used at production scale, data scientists need to consider infrastructure that is optimised for AI. 

Considerations should include:

  • Data set size and growth
  • Cost and availability of high performance GPUs, storage, and networking
  • Security, control, governance, and data ownership requirements.

Often, a hybrid or on-prem solution will offer better and faster results  with lower total cost of ownership.

Case Studies
Chang Gung Memorial Hospital logo on orange gradient background
“The computing speed of analysing medical data has been greatly increased after introducing AIRI.”
Chang-Fu Kuo
Director, Center for AI in Medicine
Chang-Fu Kuo
Director, Center for AI in Medicine
Kakao logo on yellow background
“We needed fast and reliable storage for AI projects, and FlashBlade® was an optimal choice for us. Since adopting FlashBlade, we are able to use data more efficiently and significantly reduce the cost of managing infrastructure.”
Il-seop Jin
Manager, Infrastructure Planning
Il-seop Jin
Manager, Infrastructure Planning
MediaZen logo on blue background
Accelerates AI-powered voice recognition modeling cycle by 96%
Abstract grey hexagons on a black background
"You need to consider storage to drive the success of AI projects. FlashBlade processes large amounts of data reliably at high speed, allowing us to build an infrastructure that always provides the optimal performance.”
Jargalsaikhan Narantuya
Professor, AI Graduate School
Jargalsaikhan Narantuya
Professor, AI Graduate School
Layered orange hexagons on a canvas colored background
Increase in GPU usage, from 30% to 80%


NVIDIA and Pure Storage deliver AI-at-scale for every enterprise.

"...Meta has continued to partner with Pure, and RSC is the latest example of how Pure is helping Meta achieve its AI research goals."

Vivek Pai

Storage Lead for AI Research SuperCluster, META

Meet with an Expert

Let’s talk. Book a 1:1 meeting with one of our experts to discuss your specific needs.

Questions, Comments?

Have a question or comment about Pure products or certifications?  We’re here to help.

Schedule a Demo

Schedule a live demo and see for yourself how Pure can help transform your data into powerful outcomes. 

Call Sales: +44 8002088116


Pure Storage, Inc.

2555 Augustine Dr.

Santa Clara, CA 95054

800-379-7873 (general info)

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