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Adding Network Security to AI, HPC and Data Centers

https://go.rambus.com/adding-network-security-to-ai-hpc-and-data-centers#new_tab

This white paper examines the architectural and security considerations associated with these specialized networks and explains how data center operators can protect critical data and communications without compromising the performance demanded by distributed AI and HPC workloads.

AI Memory

https://www.rambus.com/glossary/ai-memory/

AI memory comprises the technologies that store and move AI data, enabling faster training, lower inference latency, and scalable AI infrastructure.

AI Inference

https://www.rambus.com/glossary/ai-inference/

AI inference is the process of using a trained AI model to generate predictions and responses, requiring efficient memory, connectivity, and data movement.

AI Data Movement

https://www.rambus.com/glossary/ai-data-movement/

AI data movement is the transfer of data across memory, processors, accelerators, and networks that enables high-performance AI training, inference, and agentic AI workloads.

AI Infrastructure

https://www.rambus.com/glossary/ai-infrastructure/

AI infrastructure combines compute, memory, connectivity, storage, and security technologies that enable AI training, inference, and agentic AI at scale.

Agentic AI

https://www.rambus.com/glossary/agentic-ai/

Agentic AI enables autonomous systems to reason, plan, and act toward goals, driving demand for high-performance AI memory, connectivity, and security.

Rambus Reports Third Quarter 2026 Financial Results

https://www.rambus.com/third-quarter-2026-financial-results/

Record quarterly revenue of $218.3 million, up 22% year over year, exceeding guidance range GAAP diluted earnings per share of $0.69 and non-GAAP diluted earnings per share of $0.84, exceeding guidance range Record product revenue of $114.3 million, up 15% quarter over quarter and 22% year over year Expanded product and IP offerings for next-generation […]

Rambus and ChipAgents Collaborate to Accelerate Chip Design with Agentic AI

https://www.rambus.com/rambus-and-chipagents-collaborate-to-accelerate-chip-design-with-agentic-ai/

SAN JOSE and SANTA CLARA, Calif. — Oct. 21, 2026 — Rambus Inc. (NASDAQ: RMBS), a provider of industry-leading chips and silicon IP making data faster and safer, and ChipAgents, a leader in agentic AI platforms for chip design, today announced a multi-faceted strategic agreement to accelerate chip design with agentic AI.

Rambus Enables SOCAMM2 Memory Modules for AI Servers

https://www.rambus.com/blogs/rambus-enables-socamm2-memory-modules-for-ai-servers/

[Last updated on October 13, 2026] Rambus has announced a new power management IC (PMIC) designed for the upcoming LPDDR6 SOCAMM2. Optimized for the dynamic workloads of future AI systems, the Rambus PMIC alongside the SPD Hub provide efficient and precise module-level power management, including advanced power conversion, sequencing, telemetry and fault protection. The PMIC […]

Rambus Advances Power-Efficient AI Infrastructure with Industry-Leading PMIC Designed for LPDDR6 SOCAMM2

https://www.rambus.com/rambus-advances-power-efficient-ai-infrastructure-with-industry-leading-pmic-designed-for-lpddr6-socamm2/

New PMIC expands the Rambus family of LPDDR-based server module solutions and builds on the company’s leadership in advanced server-memory power management Designed to enable upcoming low-power, high-performance LPDDR6 SOCAMM2 Delivers enhanced power efficiency to scale tokens per watt for AI workloads Architected in technical cooperation with customers and ecosystem partners to advance future-generation accelerated […]

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