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Innodisk CXL Memory Module to Power AI Servers

Supports 32GB/s of bandwidth and data transfer speeds up to 32GT/s via PCIe Gen5 x8 interface.

Innodisk Corp. launches its Compute Express Link (CXL) Memory Module, which is designed to meet the rapid growth demands of AI servers and cloud data centers.

Innodisk Compute Express Link Intro

As one of the few module manufacturers offering this technology, the company is at the forefront of AI and HPC.

It continues to push the boundaries of innovation with the launch of its CXL Memory Module, which is designed to meet the rapid growth demands of AI servers and cloud data centers. As one of the few module manufacturers offering this technology, the firm is at the forefront of AI and HPC.

The demand for AI servers is rising quickly, with these systems expected to account for approximately 65% of the server market by 2024, according to TrendForce (2024). This growth has created an urgent need for greater memory bandwidth and capacity, as AI servers now require at least 1.2TB of memory to operate effectively. Traditional DDR memory solutions are increasingly struggling to meet these demands, especially as the number of CPU cores continues to multiply, leading to challenges such as underutilized CPU resources and increasing latency between different protocols.

The company’s CXL memory module addresses these challenges by overcoming the limitations of conventional DIMM channels and boosting server system performance. It supports 32GB/s of bandwidth and data transfer speeds up to 32GT/s via the PCIe Gen5 x8 interface, ensuring the rapid processing capabilities essential for AI workloads. If equipped with 4 pieces of 64GB CXL memory modules, the server configured with 8 pieces of 128GB DRAM modules can increase its memory capacity by 30% and bandwidth by 40%, which can meet the demanding memory requirements of AI servers without requiring additional DIMM slots, thereby optimizing hardware architecture and reducing system complexity. Furthermore, the CXL memory module enables memory pooling, which optimizes memory resource sharing between CPUs and components, reducing redundant memory usage and enhancing overall system efficiency.

The CXL memory module from the company features the E3.S 2T form factor based on the EDSFF standard. This design allows for flexible memory expansion and easy module swapping within servers, ensuring integration with minimal cost and complexity. CXL is an open standard promoted by major industry players, and it is expected to rapidly develop into an ecosystem, which is critical for applications in cloud data centers, networking communications, and edge servers.

The company plans to begin shipping this advanced CXL memory module in 1Q25. This launch marks the firm’s commitment to leading the future of computing with cutting-edge solutions.

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