➀ Andes Technology offers a comprehensive RISC-V processor portfolio spanning embedded control, AI/ML acceleration, and high-performance computing (HPC), with cores ranging from ultra-low-power D23 to Linux-capable multicore AX60;

➁ The AndesAIRE platform enables tailored AI inference engines through automated custom instructions and RISC-V vector extensions, with deployments in Meta's recommendation systems and EdgeQ's 5G chips;

➂ Automotive-grade ISO 26262 ASIL-D certified processors and cybersecurity applications with Cornami's FHE solutions demonstrate cross-industry adoption, cementing Andes' 30% RISC-V market leadership.

➀ Semidynamics' Cervell™ integrates CPU, vector, and tensor units into a unified RISC-V-based NPU, eliminating external CPU dependencies and performance bottlenecks;

➁ The architecture enables scalability from edge IoT devices to datacenters (up to 256 TOPS), with shared memory and customizable instructions through RISC-V's open ecosystem;

➂ Cervell challenges traditional NPUs by offering programmability, coherent task execution, and a simplified software stack for AI model optimization.

➀ RISC-V的开放性和可定制性带来了硬件安全风险，需在芯片设计早期进行威胁检测；

➁ MITRE CWE框架新增108个硬件相关漏洞分类，并针对瞬态执行攻击（如Spectre和Meltdown）引入三类微架构缺陷枚举；

➂ Cycuity的Radix工具通过架构无关的信息流分析，支持RISC-V芯片设计中的安全验证与漏洞预防。

➀ RISC-V is expanding from microcontroller to application processors and data center servers, requiring robust virtualization support through MMU standards;

➁ The RISC-V MMU standard introduces complexity due to its recent finalization, ISA extensions, and generalized design, challenging verification teams;

➂ Breker's SystemVIP tool addresses MMU verification gaps, offering testplan frameworks despite ongoing refinements and debates over compliance.

➀ Axelera AI, founded in 2021, aims to provide scalable edge AI hardware and software solutions.

➁ The company has raised USD 120 million and has a world-class team of over 190 employees.

➂ Axelera AI's Metis platform offers high performance with low power consumption, targeting applications like computer vision, automotive, and healthcare.

➀ A new chiplet-based RISC-V vector processor architecture aims to balance performance, efficiency, and flexibility for AI workloads.

➁ The architecture utilizes modular chiplets, including a vector processing chiplet and a matrix multiplication accelerator, to optimize various AI computation aspects.

➂ The RISC-V solution addresses memory bottlenecks and enhances energy efficiency with time-based execution and dynamic power gating.

➀ Semidynamics, founded in 2016, transitioned from RISC-V design services to licensing customizable 64-bit RISC-V processor IP in 2019.

➁ UPMEM's selection of Semidynamics' IP for large language models in 2024 led to increased interest from other fabless semiconductor companies.

➂ The company is focusing on providing customized solutions and encouraging early collaboration to address challenges and meet future demands in the AI sector.

➀ A new architecture for RISC-V CPUs introduces advanced matrix extensions and custom quantization instructions that significantly improve CNN acceleration.

➁ The design features scalable, VLEN-agnostic matrix multiplication instructions, ensuring consistent performance across different hardware configurations.

➂ A 2D load/store unit optimizes memory access for matrices, reducing overhead and increasing computational efficiency.

➀ There has been a significant shift towards RISC-V architectures in SoC design;

➁ This article highlights the impact of this shift on the semiconductor industry;

➂ It discusses the role of RISC-V in fostering innovation and flexibility in technology development.

➀ A roundup of the latest electronics news from Embedded World 2024, covering automotive, military, telecoms, industrial, and consumer electronics sectors.

➁ Infineon is launching a RISC-V starter kit for automotive microcontrollers.

➂ NXP reveals MCX MCUs with Matter, Thread, Zigbee, and Bluetooth LE.

➀ Bolt Graphics has introduced its Zeus GPU platform, designed for gaming, rendering, and supercomputer simulations.

➁ The company claims that its Zeus GPU can outperform Nvidia's GeForce RTX 5090 by around 10 times in path tracing workloads.

➂ However, Zeus is limited to path tracing and FP64 compute workloads due to its lack of support for traditional rendering techniques.