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Ask the Experts: SOCAMM2 Server Memory Module Chipsets

Video: How SOCAMM2 Brings LPDDR Power Efficiency to Scalable AI Server Memory

As AI models grow larger and more power hungry, memory is emerging as a key limiter in AI server design. In this Ask the Experts video, Piero Bianco, Senior Director of Product Marketing for Power Management ICs at Rambus, explains how SOCAMM2 addresses the power, scalability, and serviceability challenges of modern AI servers.

Watch the video to learn how SOCAMM2 combines the bandwidth and power efficiency of LPDDR5X with the modularity and reliability required in data center environments.

What This Video Covers

In this Ask the Experts session, Rambus explores how SOCAMM2 enables next‑generation AI servers, including:

  • Why memory power consumption is becoming a limiting factor for AI scaling
  • How LPDDR differs from traditional DDR memory in AI workloads
  • The challenges of soldered LPDDR in data center environments
  • What SOCAMM2 is and how it works
  • Key benefits of SOCAMM2 for AI server designers
  • What Rambus provides in its SOCAMM2 server module chipset

Why Memory Power Matters for AI

The AI industry has made enormous advances in compute, GPUs, and accelerators. Today, power consumption is increasingly the limiting factor in scaling AI systems.

AI models require memory not only for capacity, but for constant, high‑bandwidth data movement. Moving weights, activations, and key‑value caches consumes significant energy. As models grow, memory power efficiency becomes as important as compute performance.

Why LPDDR Is Attractive for AI Workloads

LPDDR was originally designed for mobile devices, but its characteristics align well with AI requirements:

  • High bandwidth
  • Low signaling voltage
  • Lower power consumption per bit transferred

For AI workloads that prioritize bandwidth and energy efficiency over ultra‑low latency, LPDDR offers clear advantages. However, LPDDR was designed to be soldered close to the processor, which creates challenges in server environments.

The Limitations of Soldered LPDDR in Servers

Using soldered LPDDR in AI servers introduces several operational challenges:

  • Repairability: If a memory device fails, the entire board must be replaced
  • Supply chain rigidity: Memory configuration is fixed at manufacturing time
  • Lack of upgradability: Capacity cannot be expanded over the system’s lifetime
  • Service costs: Repairs require more downtime and labor

These limitations reduce flexibility and increase total cost of ownership in data centers.

What Is SOCAMM2?

SOCAMM2 stands for Small Outline Compression Attached Memory Module. It is a JEDEC‑defined memory standard that uses LPDDR5X packaged into a compact, server‑grade module.

Instead of soldering LPDDR directly onto the board, SOCAMM2 places LPDDR memory on a removable module. The module is designed to preserve LPDDR’s low‑voltage signaling and power efficiency while enabling modularity and serviceability.

SOCAMM2 modules sit flat on the motherboard, maximizing signal integrity and supporting the physical and electrical constraints of AI server designs.

Key Benefits of SOCAMM2 for AI Servers

SOCAMM2 delivers a combination of benefits tailored to AI infrastructure:

High Bandwidth with Low Power
SOCAMM2 preserves LPDDR’s core advantages, delivering high bandwidth at significantly lower power consumption compared to traditional server memory.

Modularity and Serviceability
Failed memory modules can be replaced without swapping entire boards, reducing downtime and maintenance cost.

Scalability
SOCAMM2 allows memory to be placed farther from the CPU while maintaining signal integrity, enabling higher memory capacity configurations around AI processors.

Improved Cooling Options
The flat, compression‑attached form factor creates more spacing for airflow and liquid cooling, which is critical for high‑power AI systems.

Industry Standardization
As a JEDEC standard, SOCAMM2 enables multi‑vendor sourcing and avoids proprietary lock‑in for system designers and operators.

What Rambus Provides for SOCAMM2

Rambus offers a complete SOCAMM2 server module chipset, designed to support enterprise‑grade AI deployments.

The Rambus SOCAMM2 chipset includes:

  • High‑efficiency on‑module power management ICs
  • Multiple voltage regulators optimized for LPDDR5X
  • An SPD hub supporting configuration, presence detection, and telemetry
  • Integrated temperature sensing for monitoring and reliability

Together, these components enable robust, energy‑efficient SOCAMM2 module designs.

Why Choose Rambus for SOCAMM2 Chipsets?

Rambus brings decades of experience in high‑speed memory interfaces and system‑level design. Its deep expertise spans signal integrity, power conversion, noise reduction, and compact form factor memory systems.
By working closely with CPU vendors, memory suppliers, and system OEMs, Rambus helps customers deliver SOCAMM2 solutions with high reliability, efficient power delivery, and scalable performance for AI servers.

Frequently Asked Questions about SOCAMM2

What is SOCAMM2?
SOCAMM2 is a JEDEC‑standard memory module that packages LPDDR5X into a removable, server‑grade form factor for AI systems.

Why is SOCAMM2 important for AI servers?
It combines LPDDR’s power efficiency and bandwidth with the modularity, scalability, and serviceability required in data centers.

How is SOCAMM2 different from soldered LPDDR?
SOCAMM2 enables memory replacement, upgradeability, and better supply chain flexibility compared to soldered LPDDR designs.

What does Rambus supply for SOCAMM2?
Rambus provides a complete SOCAMM2 chipset including power management ICs and an SPD hub with telemetry support.

Rambus Enables Power-Efficient AI Platforms with SOCAMM2 Server Module Chipset

LPDDR-based SOCAMM2 chipset, including new Voltage Regulators and SPD Hub, supports AI data center performance scaling in a low-power, high-bandwidth, compact module form factor

  • First in a planned family of LPDDR-based server module chipsets for future AI systems
  • Enables low-power, high-performance JEDEC-standard LPDDR5X SOCAMM2 memory modules running up to 9.6 Gb/s
  • Leverages Rambus leadership in signal and power integrity to improve performance, reliability and interoperability for advanced memory architectures

Rambus SOCAMM2 Server Memory Module Chipset

SAN JOSE, Calif. — Apr. 22, 2026 — Rambus Inc. (NASDAQ: RMBS), a premier chip and silicon IP provider making data faster and safer, today announced a SOCAMM2 (Small Outline Compression Attached Memory Module) chipset designed to enable low-power, high-performance LPDDR5X-based memory modules for AI server platforms. The SOCAMM2 chipset represents the first step in a broader Rambus roadmap of LPDDR-based server module solutions, reflecting the company’s ongoing collaboration with industry partners to support new memory architectures optimized for evolving workloads in AI data center infrastructure. This new product family extends the comprehensive Rambus offering of complete memory interface chipsets for all JEDEC-standard DDR5 and LPDDR5 memory modules.

The rapid diversification and expansion of data center workloads driven by AI is reshaping system requirements, heightening the need for purpose-built solutions that optimize for power, efficiency, form factor and memory scalability. SOCAMM2 memory modules, based on LPDDR technology, are emerging as an innovative architectural approach to address these challenges by delivering high performance with lower power consumption in a modular, serviceable, board area efficient form factor.

The Rambus SOCAMM2 chipset is designed to support this transition by providing the critical control, telemetry, and power delivery functions required by JEDEC-standard SOCAMM2 memory modules in demanding AI server environments.

“AI system architectures are evolving rapidly, and memory has become one of the most critical enablers of performance, efficiency, and scalability,” said Rami Sethi, SVP and general manager of Memory Interface Chips at Rambus. “SOCAMM2 represents an important step in bringing modular, low-power, high-performance memory into next-generation AI servers. This chipset is the first in a planned family of LPDDR-based server module chips, and we are actively developing the next-generation solutions to enable future AI infrastructure.”

“SOCAMM2 represents a key step toward delivering efficient, scalable, CPU-connected memory designed for the next wave of AI servers,” said Praveen Vaidyanathan, vice president and general manager of Cloud Memory Products at Micron. “With AI pushing the boundaries of compute performance and power budgets, the industry needs a robust ecosystem around LPDDR-class server memory. We welcome Rambus’ commitment to SOCAMM2 with an integrated chipset offering that supports the evolution of future AI system designs.”

“As AI workloads continue to challenge data center power, bandwidth, and density limits, memory architectures like SOCAMM2 represent an important evolution in how systems balance performance with efficiency,” said Soo Kyoum Kim, associate VP, memory semiconductors at IDC. “Contributions from ecosystem members such as Rambus are critical to enabling LPDDR-based memory to permeate in AI servers.”

SOCAMM2 replaces soldered LPDDR memory with detachable, upgradable modules that combine LPDDR efficiency with server-class serviceability in the data center. The Rambus LPDDR5X SOCAMM2 chipset supports reliable, power-efficient operation of LPDDR-based server memory modules at up to 9.6 Gb/s and includes:

  • SPD Hub for module identification, configuration, and telemetry;
  • 12-amp (A) and 3A voltage regulators for localized, efficient power conversion.

More Information:
Learn more about the Rambus SOCAMM2 server module chipset at https://www.rambus.com/memory-interface-chips/socamm2-server-chipset/.

Forward-looking statements
Information set forth in this press release, including statements as to Rambus’ outlook and financial estimates and statements as to the expected timing and effects of Rambus products, constitute forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995.

These statements are based on various assumptions and the current expectations of the management of Rambus and may not be accurate because of risks and uncertainties surrounding these assumptions and expectations. Factors listed below, as well as other factors, may cause actual results to differ significantly from these forward-looking statements. There is no guarantee that any of the events anticipated by these forward-looking statements will occur, or what effect they will have on the operations or financial condition of Rambus. Forward-looking statements included herein are made as of the date hereof, and Rambus undertakes no obligation to publicly update or revise any forward-looking statement unless required to do so by federal securities laws.

Major risks, uncertainties and assumptions include, but are not limited to: any statements regarding anticipated operational and financial results; any statements of expectation or belief; other factors described under “Risk Factors” in Rambus’ Annual Report on Form 10-K and Quarterly Reports on Form 10-Q; and any statements of assumptions underlying any of the foregoing. It is not possible to predict or identify all such factors. Consequently, while the list of factors presented here is considered representative, no such list should be considered to be a complete statement of all potential risks and uncertainties.

Press Contact:
Cori Pasinetti
Rambus Corporate Communications
t: (650) 309-6226
[email protected]

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