Discover Unrivaled Performance
Introducing our state-of-the-art compute module, designed to unleash the potential of the powerful Rockchip RK3588 SoC. Our compute module is specifically crafted for developers and innovators looking to elevate their projects in Edge Computing, AI, IoT, robotics, multimedia, and more. With the added benefit of being NVIDIA Jetson pin compatible, our solution makes it easier than ever to upgrade your existing projects or create new, powerful systems.
Specs
Read full Turing RK1 compute module specs in our Docs.
Unleash the Power of Ubuntu
The Turing RK1 is not just about hardware prowess – it’s also about software versatility. With full support for Ubuntu 22.04, the Turing RK1 is ready to take on your most demanding projects. Whether you’re developing the next big thing in AI, crunching big data, or running a powerful server, Ubuntu 22.04’s stability and extensive software library have got you covered.
Not only does the Turing RK1 support Ubuntu 22.04, but it also comes with support for the Linux kernel 5.15 LTS. Long Term Support (LTS) means you get a stable, secure kernel that’s backed by the Linux community for years to come. You can count on consistent performance and regular security updates, making the Turing RK1 a reliable choice for your projects.
Benchmarks
Carrier boards
The Turing RK1 compute module is compatible with Nvidia Jetson pin layout. This means you can plug it into any Nvidia Jetson carrier board. Additionally, you can fit up to 4 Turing RK1 compute modules on the Turing Pi 2 cluster board. This lets you mix and match your setup according to your needs. You can run the RK1 alongside other compute modules like Nvidia Jetson and Raspberry Pi CM4 in any combination.
Advanced AI Capabilities
The Turing RK1, equipped with a Neural Processing Unit (NPU), is a powerful tool for accelerating neural network computations, offering a processing performance of up to 6 TOPS. This makes it an excellent choice for applications in machine learning, AI development, and data analysis. It’s capable of running popular libraries such as TensorFlow, PyTorch, and Caffe, making it a versatile choice for developers.
