Breaking Through Memory Bottlenecks: 210 Million IOPS with Composable Memory Systems

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The demand for scalable and high-performance memory solutions is growing at an unprecedented pace. Traditional server memory architectures often lead to underutilization, performance bottlenecks, and stranded capacity—challenges that hinder compute efficiency and drive up operational costs.

Composable Memory Systems, powered by Compute Express Link (CXL), enable dynamic memory pooling and real-time resource sharing, allowing data centers to dramatically improve memory utilization and performance.

Want to explore how H3 Platform’s CXL Memory Pooling solutions can enhance efficiency, reduce costs, and unlock new levels of performance?
Contact our technical experts today to learn more.

 

Why Do Data Centers Need Composable Memory Systems?

The rapid expansion of AI, high-performance computing (HPC), and cloud-based workloads has created an ever-increasing demand for flexible, high-bandwidth, and low-latency memory architectures. However, conventional fixed memory allocation models force organizations to overprovision DRAM, leading to stranded memory and inflated costs.

CXL-based Composable Memory Systems address these inefficiencies by allowing memory to be dynamically allocated, shared, and optimized across multiple compute nodes—enabling superior performance, scalability, and efficiency.

Four Key Benefits of Composable Memory Systems

1. Dynamic Memory Pooling Eliminates Stranded Capacity

In traditional server architectures, memory is tightly coupled with individual machines, resulting in underutilized memory resources when workloads fluctuate. Composable Memory Systems leverage CXL 2.0 to create a pooled memory architecture, dynamically allocating resources to where they are needed most. This ensures that applications have access to the necessary memory capacity without overprovisioning or waste.

 

2. Optimized Resource Utilization Lowers TCO

Instead of equipping every server with dedicated DRAM that may sit idle, Composable Memory Systems enable shared access to memory pools, reducing idle rates and improving overall resource efficiency. By reallocating memory in real time, organizations can reduce stranded resources, maximize infrastructure investments, and achieve lower total cost of ownership (TCO)—all without adding more physical memory modules.

 

3. Industry-Leading Bandwidth and Performance

Composable Memory Systems provide low-latency, high-bandwidth access to memory, enabling substantial gains in performance for data-intensive workloads.

Performance results from H3 Platform’s CXL 2.0 Memory Pooling/Sharing technology:

• 66 million IOPS (@512 bytes) and 43GB/s bandwidth for a single server accessing pooled memory.
• 210 million IOPS and 120GB/s total bandwidth when four servers operate simultaneously.
• In a four-server test environment utilizing eight 256GB E3.S CXL memory modules, each server sustained 43GB/s bandwidth, demonstrating Composable Memory’s ability to support AI inference, real-time analytics, and large-scale databases.

 

4. Seamless Integration with Existing Infrastructure

Built on the CXL 2.0 standard, Composable Memory Systems integrate with existing PCIe-based architectures, enabling dynamic memory expansion without extensive hardware modifications. This flexibility allows enterprises to scale resources efficiently while maintaining compatibility with existing compute infrastructure.

H3 Platform Falcon C5022 Technical Overview

Specification	Description
Supported Standard	CXL 2.0
Maximum Memory	5TB(20x E3.S CXL Memory Modules, 256GB each)
Switch Interface	PCIe 5.0 / CXL
Supported Memory Type	DDR5
Management Features	Dynamic Memory Allocation & Virtual CXL Switch (VCS) Mode

Who Benefits from Composable Memory Systems?

Organizations operating memory-intensive workloads can achieve significant advantages by leveraging Composable Memory Systems:

• AI and HPC Developers: Access high-capacity memory pools without traditional DRAM limitations, optimizing deep learning model training and inference.
• Cloud Service Providers (CSPs): Improve memory utilization across multi-tenant environments, reducing idle resources and maximizing efficiency.
• Financial Services & FinTech: Support low-latency, high-throughput applications such as high-frequency trading (HFT) and real-time risk analysis.
• Enterprise IT Infrastructure: Scale memory resources dynamically based on workload demand, enhancing operational flexibility while minimizing overprovisioning.

Composable Memory Systems vs. Traditional Architecture

Aspect	Traditional Architecture	Composable Memorty System
Resource Allocation	Fixed, server-bound	Dynamic, shared across workloads
Resource Utillization	Low (memory stranded per node)	High (memory optimized across nodes)
Latency	Higher due to NUMA overhead	Lower via CXL direct memory access
Total Costs of Owenership	High (overprovisioning of DRAM)	Lower (optimized allocation reduces waste)
Scalability	Limited by DRAM slots	Flexible, scalable memory expasion

Market Trends and Future Outlook

With the rapid adoption of CXL 2.0, enterprises are recognizing the advantages of Composable Memory Systems in optimizing compute and storage efficiency. Industry forecasts indicate that between 2025-2026, data centers will see significant growth in dynamic memory allocation technologies, driving advancements in AI, high-performance computing, and cloud infrastructure.

As CXL 3.0 and beyond continue to evolve, composable architectures will play a critical role in the future of memory management, enabling more scalable, efficient, and cost-effective infrastructure solutions.