CUDA

NVIDIA CUDA Officially Supports RISC-V, Open Source Architecture Enters AI Computing Core Field for the First Time

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NVIDIA CUDA Officially Supports RISC-V, Open Source Architecture Enters AI Computing Core Field for the First Time

At the recent RISC-V Summit held in Shanghai, NVIDIA’s Vice President of Hardware Engineering, Frans Sijstermans, officially announced during the keynote speech that NVIDIA’s core CUDA software platform will begin to support the RISC-V instruction set architecture. Although the announcement was not made with much fanfare, the industry generally believes that this decision will have … Read more

RISC-V China Summit 2025: Observations and Reflections from a RISC-V Software Engineer

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RISC-V China Summit 2025: Observations and Reflections from a RISC-V Software Engineer

The 2025 RISC-V China Summit was unprecedented in scale, with attendance exceeding 4,000. The main venue was in high demand, and many attendees stood along the sides to participate. This was my second time attending this summit since I began working with RISC-V development, and the information density over the two days was extremely high, … Read more

The U.S. Approval of the H20 Chip: Charity or Trap?

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The U.S. Approval of the H20 Chip: Charity or Trap?

When everyone thought the U.S. would continue to lock down high-endAI chips, the White House unexpectedly approved the export of NVIDIA’sH20 to China! Indeed, this is the chip whose computing power has been cut down to only15% of theH100, but its bandwidth has secretly increased to4TB/s—the “special version”! If you have any understanding of theCUDA … Read more

CUDA Embraces RISC-V: Restructuring the Global Semiconductor Power Dynamics and a Multipolar Future

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CUDA Embraces RISC-V: Restructuring the Global Semiconductor Power Dynamics and a Multipolar Future

In July 2025, at the RISC-V China Summit, NVIDIA’s Vice President of Hardware Engineering, Frans Sijstermans, declared, “We are porting CUDA to the RISC-V architecture,” which stirred a global wave in the AI computing field. This decision signifies that the CUDA platform, which has long supported only the proprietary x86 and ARM architectures, is now … Read more

NVIDIA Officially Announces: CUDA Will Fully Support RISC-V Architecture!

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NVIDIA Officially Announces: CUDA Will Fully Support RISC-V Architecture!

On July 17, 2025, the 2025 RISC-V China Summit officially opened in Zhangjiang, Shanghai, China. Frans Sijstermanns, Vice President of NVIDIA, delivered a keynote speech titled “Deploying RISC-V Application Processors on NVIDIA Computing Platforms,” introducing NVIDIA’s development history and achievements in RISC-V CPUs, and announced that its key CUDA software will also support full deployment … Read more

A Major Loss for the ASIC Camp! Huawei Plans to Redesign AI Chips, Shifting to GPGPU to Compete with NVIDIA

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A Major Loss for the ASIC Camp! Huawei Plans to Redesign AI Chips, Shifting to GPGPU to Compete with NVIDIA

On July 11, according to a report released by The Information, Chinese tech giant Huawei is seeking to change its artificial intelligence chip design strategy, shifting from ASIC (Application-Specific Integrated Circuit) to GPGPU (General-Purpose Graphics Processing Unit) chips in order to capture more market share from NVIDIA. Despite the U.S. implementing semiconductor export sanctions to … Read more

Industry Research: Advantages of FPGA Over GPU: Lower Power Consumption

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Industry Research: Advantages of FPGA Over GPU: Lower Power Consumption

Click the blue text above to follow for more exciting content. This article contains a total of 825 words, and reading it will take about 2 minutes. The power consumption of GPUs is very high because they cannot effectively utilize on-chip memory and need to frequently read from off-chip DRAM. Although their advantage in throughput … Read more

Installing PyTorch Geometric Toolkit

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Installing PyTorch Geometric Toolkit

Click the blue text above to follow us! To learn GNN, you will definitely use the torch_geometric package. PyG (PyTorch Geometric) is a library built on PyTorch that allows easy writing and training of Graph Neural Networks (GNNs), suitable for various applications related to structured data. A GCNConv can be easily called with just one … Read more

Multiple CUDA Versions Compatible on NVIDIA Jetson

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Multiple CUDA Versions Compatible on NVIDIA Jetson

During the National Day holiday, NVIDIA published an article on its developer blog: This means that starting from CUDA 11.8, developers can install new versions of the CUDA development package on Jetson just like on PCs! This is indeed a good thing. Why do I say that? Originally, there were two types of systems on … Read more

Installing Development Environment for NVIDIA Jetson Orin

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Installing Development Environment for NVIDIA Jetson Orin

The previous article has configured the Jetson Orin development kit with the Ubuntu 20.04 L4T (Linux for Tegra) desktop operating system, but the following required development resources have not been installed: CUDA Toolkit; cuDNN Neural Network Acceleration Library: TensorRT Inference Acceleration Engine; OpenCV Computer Vision Library; VPI Vision Programming Interface; DeepStream Intelligent Analysis Tool; In … Read more