category: Blogs – LPHP

category: Auto, Security & Edge AI

Building A Production-Ready Optically Connected Rack For AI Scale-Up
By Nandita Aggarwal - 11 Jun, 2026 - Comments: 0

By Nandita Aggarwal and Nicholas Chang As AI models drive compute demand, servers keep getting bigger. Rack‑scale AI systems (such as the 72-GPU systems from NVIDIA or AMD) enable many GPUs to work together through system-level optimization. They push beyond the limits of single-chip performance and meet the soaring compute needs of the AI era. But this is just the beginning. The next s... » read more

DDR5 MRDIMM: A Transformational Evolution For DDR5 DIMM
By Shyam Sharma - 11 Jun, 2026 - Comments: 0

DDR5 is the latest generation of DDR server memory capable of supporting data rates of up to 9,200 Mbps, which is a huge leap over the previous generation of DDR memories. It is used in a wide variety of applications, with the huge server and data center market being the key driver behind the adoption of DDR5-based memory systems. As systems move towards more CPU cores, bandwidth, and capacity,... » read more

Re-Architecting Die-to-Die IO For AI
By Lakshmi Jain - 11 Jun, 2026 - Comments: 0

By Lakshmi Jain and Wei-Yu Ma As AI-driven workloads continue to push the boundaries of compute scale, power efficiency, and bandwidth density, conventional die-to-die interconnect technologies—such as SerDes-based links and wide parallel IO—are increasingly becoming limiting factors. These approaches struggle to meet the growing demands for higher bandwidth density and improved energy e... » read more

Beyond The Demo: Deploying And Evaluating Open-Source AI Workloads
By Odin Shen - 11 Jun, 2026 - Comments: 0

As more open-source AI models move closer to real-world adoption, developers are changing how they evaluate edge deployment. The question is no longer simply whether a model can run, but whether it can be deployed reproducibly on a concrete platform, observed in practice, and turned into meaningful deployment decisions based on actual technical evidence. For developers, the CIX Armv9 platfor... » read more

Why Vision LLMs Force A Rethink Of Edge AI Hardware
By Athish Rao - 14 May, 2026 - Comments: 0

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge. Vision LLMs are changing the edge AI equation For the last decade, most edge AI silicon has been built to do one job extremely well: run convolutional networks for... » 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

Vision-Language-Action Models Arrive
By Mike Leonard - 14 May, 2026 - Comments: 0

The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the recently held Embedded Vision Summit, VLAs were a main topic of discussion – not as a research curiosity, but as the architecture that teams building autonomous systems are actively targeting. If yo... » read more

Introducing “The Architecture Speaks”
By Jade Alglave - 14 May, 2026 - Comments: 0

What are specifications used for? How do you use them? Are they intelligible? These questions are at the heart of the project that produces a new tool called "The Architecture Speaks". This is an experimental chatbot tool built on generative AI that aims to provide quick answers to complex questions about the Arm architecture. It also provides links to the Arm Architecture Reference Manual. Th... » read more

Structured Or Unstructured Meshes: What Works Best For Turbomachinery CFD
By Veena Parthan - 14 May, 2026 - Comments: 0

In computational fluid dynamics (CFD), meshing is a critical step for achieving reliable simulations, especially when combined with a robust solver strategy. As turbomachinery blade geometries become more intricate and design cycles shorten, traditional meshing approaches are often not enough. To keep pace, we must adopt advanced methodologies, and more importantly, quantify their impact on res... » read more

Harnessing Artificial Intelligence For Trusted IC Signoff
By Carey Robertson - 14 May, 2026 - Comments: 0

After years of behind-the-scenes work, artificial intelligence (AI) is now embedded throughout the technology world—from space exploration to everyday apps on our smartphones. There is a circular feedback loop in which we design more powerful computer chips to train AI models and use them; and then use those AI models to design even more powerful chips. The use of AI in the software used for ... » read more

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