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VisionFive2 RISC-V AI Single Board Computer Based on StarFive JH7110 SoC Quad-core 64bit CPU OpenCL 3.0 Vulkan 1.2 GPU Onboard LPDDR4 4GB RAM Support Linux Debian(Early Bird with WiFi Module)
High Integration JH7110 64-bit SoC. Support OpenGL, Vulkan and FFMpeg. Rich Interface. Encoder/Decoder. Support Mainstream System. Improve FPS Skills.
VisionFive2 RISC-V AI Single Board Computer Based on StarFive JH7110 SoC Quad-core 64bit CPU OpenCL 3.0 Vulkan 1.2 GPU Onboard LPDDR4 4GB RAM Support Linux Debian(Early Bird with WiFi Module)
Item #: 58645232

VisionFive2 RISC-V AI Single Board Computer Based on StarFive JH7110 SoC Quad-core 64bit CPU OpenCL 3.0 Vulkan 1.2 GPU Onboard LPDDR4 4GB RAM Support

Item #: 58645232

KZT 64186

Price Details

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*All items will import from US

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High Integration JH7110 64-bit SoC. Support OpenGL, Vulkan and FFMpeg. Rich Interface. Encoder/Decoder. Support Mainstream System. Improve FPS Skills.
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Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.

What Stands Out

RISC-V Architecture
Leverages cutting-edge RISC-V architecture for enhanced performance and flexibility, making it ideal for developers seeking an open-source alternative to traditional computing platforms.
High-Performance GPU
Equipped with OpenCL 3.0 and Vulkan 1.2 support, it empowers developers to create advanced graphics and AI applications, outperforming competitors in rendering and processing capabilities.
Versatile OS Support
Supports Linux Debian, enabling a robust development environment with compatibility for a wide range of software, appealing to developers aiming for versatility and ease of integration.

Product Details

Shop now for the VisionFive 2 RISC-V AI Single Board Computer. Quad-core CPU, LPDDR4 4GB RAM, Linux Debian support. Perfect for AI and IoT projects. Available at Ubuy Kazakhstan - Global Store.
Item Weight0.94 lbs (430 grams)

Who Should Buy?

Suitable For
  • Educators and Students

    Ideal for those learning about RISC-V architecture and programming due to its open-source nature and accessibility.

  • AI Developers

    Great for developers working on AI projects who need a capable and cost-effective platform for prototyping.

  • Hobbyist Makers

    Perfect for DIY enthusiasts interested in building custom projects with advanced computing capabilities at an affordable price.

Not Suitable For
  • High-End Gamers

    Not suitable for high-performance gaming needs due to its limited GPU power compared to mainstream gaming systems.

  • Professional Workstations

    Not equipped to handle demanding professional applications or high-resource tasks typically required in professional environments.

  • Casual Users

    May be too complex for everyday users looking for straightforward computing solutions without technical engagement.

Product Description

VisionFive2 RISC-V AI Single Board Computer Based on StarFive JH7110 SoC Quad-core 64bit CPU OpenCL 3.0 Vulkan 1.2 GPU Onboard LPDDR4 4GB RAM Support Linux Debian(Early Bird with WiFi Module)

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What are the supported video formats for the video decoder?

    Answer: The video decoder supports H264 and H265 formats.
  • Question: What operating systems are supported?

    Answer: VisionFive 2 supports mainstream Linux distributions such as Debian, Fedora, Ubuntu, and openSUSE.
  • Question: What can I do to improve my FPS skills?

    Answer: You can install Doom and Quake to practice and improve your FPS skills at high frame rates.
  • Question: Do 100 boards come with one order?

    Answer: No, one order quantity is 1Pcs Visionfive2

WayPonDEV Single Board Computers Editorial Review

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Customer Reviews & Ratings

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Pros

  • Powerful quad-core 64bit CPU
  • Excellent GPU support with Vulkan
  • 4GB LPDDR4 RAM for multitasking
  • Strong community support and documentation
  • Ideal for AI and machine learning projects

Cons

  • Limited onboard storage options

Product Price History

Important information

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