Memory: The New Bottleneck

As AI reshapes enterprise and datacenter workloads, the challenge has shifted. It’s no longer just about compute power—memory and storage are now the critical bottlenecks. Whether in the cloud, at the edge, or in on-premises systems, overall performance depends on how fast, efficient, and reliable data can move through the stack. Traditional DRAM and Flash are struggling to keep up with massive datasets, real-time latency requirements, and growing energy constraints. Memory has become the foundation that will either enable the future—or hold it back.

The Problem Across Deployment Models

In the public cloud, platforms offer elastic compute and storage but face inherent challenges: high memory latency caused by virtualization and multi-tenancy, as well as disaggregated architectures that slow down data movement. These factors create bottlenecks that severely limit real-time AI performance.

On-premises infrastructure provides control and customization, but it also faces cost constraints, power and cooling limits, and difficulty scaling as memory requirements grow with AI training and inference workloads.

In hyperscale environments, performance and total cost of ownership (TCO) become paramount. Memory bottlenecks ripple across thousands of nodes, making bandwidth, latency, and energy efficiency critical factors for sustainable AI infrastructure.

The Solution: Persistent Memory for AI-Centric Systems

At FMC, persistent memory technologies are being designed to overcome these limitations. Our DRAM+ and CACHE+ solutions deliver high speed and low latency, high endurance even at elevated temperatures, and exceptional power efficiency. These innovations collapse traditional hierarchies and reduce reliance on disaggregated storage. The result is lower latency, reduced energy usage, and scalability that meets the needs of AI-centric workloads.

Unlocking the Next Level of AI Performance

Whether deployed in the cloud, on-prem, or at hyperscale, FMC’s DRAM+ and CACHE+ technologies don’t just enhance memory—they unlock a new level of AI performance.

By redefining memory architecture, these solutions transform the datacenter into an AI-ready platform capable of keeping pace with the future.