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Memory and storage meet AI: Inside Micron's industry leading  portfolio 

Mike Serrano | March 2025

Technology leaders are gathering in San Jose for NVIDIA GTC 2025, the premier AI and deep learning conference. If you’re there, join Micron at booth #541 to explore the future of memory and storage technology. While you may not realize it, AI-powered innovations depend on advanced memory and storage from the moment we wake up in the morning until we go to bed at night.

Powering AI innovation with HBM3E

High-bandwidth memory (HBM) – specifically HBM3E – is revolutionizing AI computing by processing vast amounts of data at lightning speed. As the foundation of NVIDIA's latest GPU architectures, HBM is the backbone for AI and deep learning, driving complex computations that power applications such as climate modeling and computational fluid dynamics.

At GTC, witness how Micron HBM3E technology is enabling unprecedented training speeds for AI models and transforming the possibilities of generative AI. At Micron's GTC booth, you'll see firsthand how HBM accelerates innovation and pushes the boundaries of what's possible.

Accelerating AI visualization and digital twins

In the realm of AI visualization and digital twins, our graphics memory solutions bring complex AI models and simulations to life. Whether you're training autonomous systems, visualizing massive datasets or creating digital twins for industrial applications, our memory modules ensure high frame rates, breathtaking visuals and seamless performance. 

At GTC, experience how our graphics memory enables NVIDIA's latest GPU architectures, enabling real-time AI inference and visualization that transforms data into actionable insights.

Innovating edge AI with low-power memory

The future of AI extends beyond the data center to the intelligent edge where our low-power memory (LPDDR5X) solutions enable AI inference at unprecedented speeds. From autonomous vehicles processing sensor data in real-time to smart manufacturing systems optimizing production lines, consuming as little energy as possible is vital. Our low-power memory is designed for edge AI applications, offering reduced power consumption without compromising on performance. At GTC, discover how our LPDDR5X technology is enabling the next generation of AI-powered edge devices.

Accelerating the AI data pipeline with smart storage

Our SSD solutions provide the high-speed data access crucial for AI training and inference. In modern AI workflows where massive datasets drive model training and real-time inference, our SSDs deliver the performance and reliability needed to keep AI pipelines running efficiently. See how our storage solutions integrate with NVIDIA's AI platforms to accelerate time to insight for your AI projects.

At Micron, we are committed to advancing the future of AI through cutting-edge memory and storage solutions. Our team of experts at GTC can answer your questions, share benchmark testing results and discuss how our products can accelerate your AI initiatives.  Additionally, join us on Tuesday, March 19th at 3pm in the Marriott Ballroom (L2) where Praveen Vaidyanathan, VP and GM, Compute Products Group, for his talk on how to  “Transform Data Center Architecture with Micron’s AI Memory and Storage Portfolio”, and join us on-demand for Ryan Meredith, Director of Storage Solutions Architecture, talk on “Advancing AI Workloads with PCIe Gen6 New System Architectures”.

Visit Micron at NVIDIA's GTC conference in San Jose and discover how we can help you stay at the leading edge in the AI revolution. We look forward to seeing you there!

Data Center Marketing Strategy and Content Lead

Mike Serrano

He is responsible for marketing and content strategy for Micron’s memory and storage portfolio for the data center. Mike has directed the launch of numerous Micron products including HBM3E, DDR5, high-capacity RDIMMS, and memory expansion modules based on CXL™, as well as storage solutions for local cache and networked data lakes.

Mike holds BS in Information Systems from San Jose State University and an MBA from Santa Clara University.