Arm Joins NVIDIA NVLink Fusion Ecosystem

Arm Joins NVIDIA NVLink Fusion Ecosystem

At the Supercomputing ’25 conference, Arm and NVIDIA announced that Arm has joined the NVLink Fusion ecosystem, marking the support of this technology by two major microarchitecture developers and a total of four CPU developers. For NVIDIA, this means that Arm’s customers will be able to develop processors that can work in conjunction with NVIDIA … Read more

Types and Applications of AI Accelerators in Edge Computing

Artificial intelligence is driving the demand for faster, smarter, and more efficient computing. However, with massive amounts of data generated every second, sending all data to the cloud for processing is no longer practical. At this point, AI accelerators in edge computing become indispensable. This specialized hardware can directly enhance the performance of AI applications … Read more

Open Source Reconstruction: How RISC-V Becomes the ‘Silicon-Based Revolutionary Engine’ for AI Accelerators

Open Source Reconstruction: How RISC-V Becomes the ‘Silicon-Based Revolutionary Engine’ for AI Accelerators When the patent walls of x86 and ARM hinder innovation, RISC-V tears open a gap with its open-source instruction set—modular architecture, zero licensing costs, and hardware-level customization freedom are returning the design rights of AI accelerators to every developer. 1. Architectural Genes: … Read more

SiFive: Leading the Charge in RISC-V Chip Design

SiFive: Leading the Charge in RISC-V Chip Design

SiFive is a global leader in RISC-V chip design, founded in 2015 by the inventors of the RISC-V architecture, and headquartered in California, USA. As a core driver of the RISC-V ecosystem, SiFive provides processor IP, toolchains, and customized chip solutions based on the RISC-V instruction set, covering a wide range of application scenarios from … Read more

Top Chip Designer from AWS Joins Arm

Top Chip Designer from AWS Joins Arm

According to reports, UK chip designer Arm Holdings has recruited a top chip engineer from Amazon Web Services (AWS). Rami Sinno previously led Arm’s engineering team before joining Amazon, where he was responsible for driving the development of the Trainium and Inferentia chips for the cloud computing giant’s Annapurna Labs. According to sources cited by … Read more

Why the Latest AI Models Are Not Always Best for Edge AI

Why the Latest AI Models Are Not Always Best for Edge AI

When you are ready to spend a relaxing evening at home, you might let your smartphone play your favorite songs or tell your home assistant to dim the lights. These tasks seem simple because they are powered by artificial intelligence, which has now become integrated into our daily lives. The core of these smooth interactions … Read more

Industry Information Dispatch: Traditional NPU Suppliers Hit a Wall!

(Source: semiwiki)According to Quadric, although NPUs are currently developing rapidly, many traditional and emerging manufacturers are striving in this field. They believe that tightly integrating matrix computation with general-purpose computing, rather than welding two different engines onto a single bus and then partitioning the algorithms, seems to be an obvious advantage. Why don’t some larger, … Read more

AI Accelerators in Embedded Systems

AI Accelerators in Embedded Systems

Artificial Intelligence (AI) has undergone unprecedented expansion in recent years. The dissemination of AI tools has transcended the boundaries of data centers and high-performance devices, entering embedded systems, from IoT sensors and portable medical devices to the most complex industrial applications. Running AI models effectively in embedded environments faces certain limitations due to a lack … Read more

Traditional NPU Suppliers Face Challenges!

Traditional NPU Suppliers Face Challenges!

Remember to star the public account ⭐️ to receive notifications promptly. Source: ContentTranslated fromsemiwiki. According to Quadric, although NPU development is currently rapid, many traditional and emerging manufacturers are striving in this field. They believe that tightly integrating matrix computation with general-purpose computing, rather than welding two different engines onto a single bus and then … Read more

Insights: GPU or ASIC, Which Will Drive the Large Language Model’s Scalable Development?

Insights: GPU or ASIC, Which Will Drive the Large Language Model's Scalable Development?

Large Language Models (LLMs) are just getting started. The CEOs of OpenAI, Anthropic, and xAI share remarkably similar visions—exponential growth in artificial intelligence will transform humanity, with impacts far exceeding most people’s expectations. This is not just speculation. Today, the market and value of artificial intelligence have become a reality: Human developers using GitHub CoPilot … Read more