As AI applications become more complex and data-intensive, the need for scalable and efficient storage solutions becomes increasingly important. AI models require vast amounts of data to be processed, and as the size and complexity of these models continue to grow, so does the need for more storage. Storage considerations are critical for both the training and the deployment of AI models. As AI models are increasingly used in real-world applications, it is essential to ensure that the storage solution used can provide reliable and efficient access to the data needed to support these applications. This includes both the storage of the model itself and the data used to support its ongoing operation.

In this episode of the AI Today podcast we interview Justin Emerson from Pure Storage. He shares with us critical factors for teams to consider when thinking about data storage as well as real world examples of what happens when teams do or do not choose the right data storage solution. Whether you are a developer, data scientist, or IT professional, understanding the critical role of storage in AI model development and deployment is essential to ensuring the success of your AI and advanced analytics initiatives.

Episode Sponsored By:

Pure Storage uncomplicates data storage, forever. Pure delivers a cloud experience that empowers every organization to get the most from their data while reducing the complexity and expense of managing the infrastructure behind it. Pure’s commitment to providing true storage as-a-service gives customers the agility to meet changing data needs at speed and scale, whether they are deploying traditional workloads, modern applications, containers, or more. Pure believes it can make a significant impact in reducing data center emissions worldwide through its environmental sustainability efforts, including designing products and solutions that enable customers to reduce their carbon and energy footprint. And with the highest Net Promoter Score in the industry, Pure's ever-expanding list of customers are among the happiest in the world. For AI and ML workloads, Pure and NVIDIA have collaborated to offer AI Ready Infrastructure. AIRI//S combines Pure Storage FlashBlade//S, NVIDIA DGX systems, and NVIDIA networking – making it fast and simple for organizations and enterprises to build modern AI factories and industrialize AI.

For more information, Visit www.purestorage.com/ai

Show Notes:

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.

• Pure Storage
• Free Intro to CPMAI Course