tag: LPDDR

The Expansion Of LPDDR Into Edge AI Platforms
By Paul Karazuba - 09 Jul, 2026 - Comments: 0

As artificial intelligence continues its migration from centralized data centers to distributed systems, one reality is becoming unmistakable: the future of AI is increasingly defined at the edge. Whether embedded in smart cameras, industrial controllers, or next-generation vehicles, AI is no longer confined to racks of GPUs. It is operating in power-constrained, thermally limited, and space-re... » read more

Field Guide to DDR Signal Integrity Analysis
By Cadence - 08 Jul, 2026 - Comments: 0

A working field guide to the JEDEC measurements that decide DDR signoff: eye width and height, overshoot and ringback, DQ-to-DQS skew, RX mask margins, and the BER reports behind them. See how Sigrity X PowerSI and Sigrity SystemSI verify each one against JEDEC values inside your Allegro design flow. What's Inside: Know exactly what to measure: The full JEDEC checklist for DDR4, DDR5, ... » read more

SOCAMM2: Bringing LPDDR5X Benefits To AI Servers
By Piero Bianco - 14 May, 2026 - Comments: 0

The rapid scaling of artificial intelligence is reshaping nearly every dimension of data center design. While much of the focus has been on GPUs, accelerators and advanced packaging, another constraint is emerging as equally critical: power. As AI models grow larger and more complex, power consumption, not raw compute, is increasingly the limiting factor in system scalability. Modern AI work... » read more

Memory For AI At The Edge
By Ed Sperling - 18 Mar, 2026 - Comments: 0

Inferencing at the edge has very different needs than training large language models or large-scale inferencing in AI data centers. Many edge devices run on a battery. They're price-sensitive, and they are constrained by the physical area of the device. As a result, the amount of memory that can be packed into these devices is also limited. Steve Woo, Rambus fellow and distinguished inventor, t... » read more

AI Inference Needs A Mix-And-Match Memory Strategy
By Raj Uppala - 12 Feb, 2026 - Comments: 0

AI inference is no longer a single workload that can be served efficiently by a single type of accelerator or memory. From fast chat replies to 10M token codebases, inference spans wildly diverse workloads with very different limits on latency, bandwidth, capacity, and compute, as the figure below demonstrates.1 Source: Meta1 The AI inference spectrum of workloads includes: Inter... » read more

On-Package Memory With UCIe To Improve Bandwidth Density And Power Efficiency (AMD, Intel Corp.)
By Technical Paper Link - 10 Oct, 2025 - Comments: 0

A new technical paper titled "On-Package Memory with Universal Chiplet Interconnect Express (UCIe): A Low Power, High Bandwidth, Low Latency and Low Cost Approach" was published by researchers at Intel Corporation and AMD. Abstract "Emerging computing applications such as Artificial Intelligence (AI) are facing a memory wall with existing on-package memory solutions that are unable to meet ... » read more

LPDDR: A Versatile Memory Powering The Next Wave Of Mobile, Edge & Endpoint Computing
By Raj Uppala - 11 Sep, 2025 - Comments: 0

The world of computing is evolving at a breakneck pace. From smartphones and ultra-thin laptops to autonomous vehicles and edge AI devices, the demand for memory that balances performance, power efficiency, and compact form factors has never been greater. This shift is driven by a few undeniable trends, including the increased deployment of AI models across verticals at the edge and higher us... » read more

The Evolution of DRAM
By Ed Sperling - 08 Sep, 2025 - Comments: 1

DRAM has been around since 1966, but today it's still the same basic 1T 1C bit cell architecture. Yet changes are coming as DRAM is called upon to store and retrieve more data faster. Steve Woo, distinguished inventor and fellow at Rambus, talks about how DRAM works, why there are different flavors, the impact of cooling new solutions in denser configurations, and ongoing issues involving the s... » read more

Meeting The Performance Demands Of The Next-Gen Client PC Market
By Carlos Weissenberg - 12 Jun, 2025 - Comments: 0

The client PC market is undergoing a transformative shift. As AI becomes a cornerstone of modern computing, the architecture of client systems—particularly notebooks and desktops—is being reimagined to support the immense data processing needs of these workloads. From real-time inferencing to generative applications, AI is redefining what performance means in a personal computer. With th... » read more

The Best DRAMs For Artificial Intelligence
By Bryon Moyer - 12 Jun, 2025 - Comments: 0

Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to the processor, the best DRAM type for this purpose depends on the type of system that is performing the training or inference. The memory challenge facing engineering teams today is how to keep... » read more

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