Advantest's AI memory solutions in GO SEMI & BEYOND newsletter

For years, computing architecture was the unseen engine room of IT. Now, as AI becomes core to growth, C-suites must understand the silicon shift. This Financial Times feature, with perspectives from Arm experts, shows why compute has moved from a technical issue to a boardroom priority. Great to see Arm leading the conversation on sustainable, scalable AI 👉 https://okt.to/kDIAfG

For years, computing architecture was the unseen engine room of IT. Now, as AI becomes core to growth, C-suites must understand the silicon shift. This Financial Times feature, with perspectives from Arm experts, shows why compute has moved from a technical issue to a boardroom priority. Great to see Arm leading the conversation on sustainable, scalable AI 👉 https://okt.to/BX75Tp

For years, computing architecture was the unseen engine room of IT. Now, as AI becomes core to growth, C-suites must understand the silicon shift. This Financial Times feature, with perspectives from Arm experts, shows why compute has moved from a technical issue to a boardroom priority. Great to see Arm leading the conversation on sustainable, scalable AI 👉 https://okt.to/vqf18N

For years, computing architecture was the unseen engine room of IT. Now, as AI becomes core to growth, C-suites must understand the silicon shift. This Financial Times feature, with perspectives from Arm experts, shows why compute has moved from a technical issue to a boardroom priority. Great to see Arm leading the conversation on sustainable, scalable AI 👉 https://okt.to/ig3exG

A hugely exciting week for us here at NextSilicon with our Technology Launch! We’ve just gone public with performance numbers for our Intelligent Compute Architecture — Maverick-2 — and there’s more (or should that be Moore 😉). Impressive results across HPCG, GUPS, and PageRank benchmarks. We’ve also unveiled Arbel, our enterprise-grade RISC-V performance core, designed to bring flexibility and efficiency to next-generation HPC and AI workloads. I’m proud to be part of a team that’s pushing boundaries in HPC, AI, and energy efficiency, proving there’s still room for real innovation in how we compute. 🧠 Read Elad Raz blog: https://lnkd.in/eDFbeyFm  #RISC-V #HPC #Maverick2

And so, we believe that Normal has the potential to be one of the most iconic semiconductor companies in the evolution of the industry. Revising how we design chips to scale custom silicon with Physics and AI might be one of the last major human engineering frontiers — to solve intelligence per unit energy. We are grateful to not be doing this alone. We plan to share more next month on our journey involving a strategic alliance of industry partners and pioneers.

SemiVision: This article begins by examining the technological pillars behind the “AI perpetual motion machine”, focusing on the evolution of HBM processing technologies, the industry-wide challenge of the Memory Wall, and the strategic implications of optical interconnects and packaging platforms for future AI architectures. https://lnkd.in/gbees2Qs

As AI and data workloads continue to scale, unlocking greater memory bandwidth is becoming essential to meet performance and efficiency demands. At the Open Compute Project Foundation Global Summit 2025, Khurram Malik, senior director of product marketing for CXL at Marvell, joined NextGenInfra.io to discuss how the Marvell® Structera™ CXL portfolio is addressing these challenges head-on. In the interview, Khurram highlights: 🔹 Structera A with 16 Arm core processors for deep learning and inference workloads 🔹 Structera X capabilities for memory expansion in hyperscale deployments 🔹 Solutions for bridging DDR4 and DDR5 memory with compression algorithms 🔹 Real-world high-bandwidth memory applications including deep learning recommendation models and machine learning Watch the full discussion on NextGenInfra’s YouTube channel: https://mrvl.co/47iVCUD 

Top AI news today: 1. Meta outlines new networking innovations at OCP (disaggregated fabrics, open switch hardware, ESUN) So what? Begin auditing your own infra’s network topology — experiment with open fabrics and plan migration steps toward scalable Ethernet for AI workloads. 2. NVIDIA Spectrum-X switches adopted by Meta + Oracle for AI data centers So what? Evaluate your interconnects today — prototype a small cluster with Spectrum-X or equivalent to measure throughput gains on your hottest model training paths.

Introducing the Qualcomm AI200 and Qualcomm AI250 inference accelerators, our new #AI inference solutions offering rack-scale performance at industry-leading total cost of ownership for the AI era. Coming in 2026 and 2027 respectively and available in accelerator card and rack form factors, these new products will continue our legacy of low-power, high-performance computing and leading AI. Qualcomm AI250 also introduces an innovative memory architecture based on near-memory computing, offering a generational leap in efficiency and performance for AI inference workloads by delivering greater than 10x higher effective memory bandwidth and much lower power consumption than Qualcomm AI200. Learn more: https://bit.ly/4nk2qqR