Accelerating AI Innovation: PowerScale + Dell APEX File for AWS

Dell APEX File Storage for AWS brings the cloud computing capabilities of AWS right to your doorstep.

In the era of AI, model development is critical to successful AI initiatives. Since AI is fueled by data, and AI models are only as good as the data that feeds them, an effective AI model calls highly performant, highly secure storage. This ultimately serves as the foundation for the data, which is the lifeblood of AI projects.

That said, not all model development is done on-premises; much of it is done in the cloud. Deploying AI in the cloud comes with its own set of challenges—most notably the high costs and complexity associated with storing, processing and managing vast quantities of data. Security and compliance concerns are also possible obstacles on the path to cloud-based AI success.

Dell APEX File Storage for AWS: A Game-Changer for AI

Enter Dell APEX File Storage for AWS. With this innovative offering, you can easily move data from on-prem to AWS without refactoring your storage architecture using advanced native replication. Once in the cloud, you can use all the familiar OneFS enterprise-grade features you know so well. Essentially, APEX File Storage for AWS—in addition to Dell PowerScale—is designed to bring AWS’s cloud computing capabilities to your doorstep.

Real-World Application: Enhancing AI Workflows with PowerScale + Dell APEX File for AWS

Now, what does this look like in the real world? Consider a large international bank that processes billions of transactions daily, involving a mix of structured and unstructured data. Due to banking regulations, this data is highly sensitive and needs to be stored in a secure environment. The bank also uses an AI solution to identify fraudulent transactions, but the sheer volume of the data overwhelms their on-prem infrastructure. Here’s where PowerScale and Dell APEX File Storage for AWS come in.

Using PowerScale, the bank can store the original transaction data on-prem, ensuring the data remains secure and compliant with banking regulations. Then, when it comes to training their AI models to detect fraudulent activity, they can leverage the scalability of AWS, transferring large datasets to an AWS instance using APEX File for AWS.

This allows the bank to leverage the robust processing power in the cloud, and it enables them to train their models on a larger amount of data, improving accuracy. Once the AI models have been trained and validated, the bank can then write the AI model’s output—including identification of potentially fraudulent transactions—back to their on-prem Dell PowerScale through S3.

This approach not only maintains the data integrity, but it also allows for easy accessibility and the ability to perform further analysis with other on-prem systems and tools. And this is just one example of the many ways Dell APEX File Storage for AWS facilitates efficient, secure and cost-effective AI workflows for businesses navigating complex, data-intensive operations.

Driving AI Innovation with Dell and AWS

The Dell and AWS partnership is an invitation to push the boundaries of AI innovation. Adopt this hybrid approach to optimize performance and manage costs effectively. Dell’s partnership with AWS—along with many other ISVs—is a commitment to enhancing AI capabilities and data management—which is essential to AI. It sets the stage for an intuitive AI workflow, leveraging the strengths of Dell PowerScale for on-prem data storage and APEX File for AWS to fluidly transfer data to AWS cloud instances. It’s a winning combination for innovating with AI.

For a deeper dive on how PowerScale and APEX File for AWS can optimize your AI projects, check out this solution brief. To learn more or request a demo, contact your Dell representative, and be sure to check out the Dell APEX File Storage for Public Cloud page here.

About the Author: Jay Limbasiya

Jay Limbasiya is a seasoned professional with over 13 years of experience in artificial intelligence (AI) and data science. He currently leads the Global AI & Data Science business development at Dell Technologies, where he has designed and launched numerous AI solutions across a range of industry verticals. Jay has been awarded three international patents, with one currently pending. Jay holds a bachelor's degree in Information Systems Management, a master's degree in Information Technology: Systems Engineering, and an MBA, all from the University of Maryland, University College. Prior to joining Dell Technologies, Jay led various AI and data science programs for NextEra Energy, where he worked with a wide range of AI and data analytics solutions, including robotics, machine learning, predictive analytics, image/facial recognition, enterprise data platform, IoT, natural language processing, and RFID. Before NextEra Energy, Jay supported the United States Department of Defense through the delivery of AI and data science solutions for their intelligence initiatives. Jay's passion for AI and engineering innovation drives him to bring change to the world. He believes that collaboration happens through networking and is committed to fostering stronger connections across the industry. Feel free to connect with him on LinkedIn!