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

SAN JOSE, Calif.--(BUSINESS WIRE)--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/.

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About Rambus Inc.

Rambus delivers industry-leading chips and silicon IP for the data center and AI infrastructure. With over three decades of advanced semiconductor experience, our products and technologies address the critical bottlenecks between memory and processing to accelerate data-intensive workloads. By enabling greater bandwidth, efficiency and security across next generation computing platforms, we make data faster and safer. For more information, visit rambus.com.

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.