NVIDIA Jetson AGX Orin Developer Kit AI Edge Computer Offers high-speed IO, 204 GB/s of memory bandwidth Contains a Jetson AGX Orin module Comes with a heat sink and a reference carrier board Features an NVIDIA Ampere architecture GPU Provides a giant leap forward for Robotics and Edge AI The NVIDIA Jetson AGX Orin Developer Kit AI Edge Computer provides a giant leap forward for Robotics and Edge AI. With up to 275 TOPS of AI performance and power configurable between 15 and 50 W, you now have more than 6X the performance of NVIDIA Jetson AGX Xavier in the same compact form-factor for developing advanced robots and other autonomous machine products. NVIDIA Jetson AGX Orin developer kit contains a Jetson AGX Orin module with heat sink and reference carrier board, 802.11ac/abgn wireless Network Interface Controller, USB-C power adapter, and cord together with a quick start and support guide. Jetson AGX Orin features an NVIDIA Ampere architecture GPU and Arm Cortex - A78AE CPU, together with next-generation deep learning and vision accelerators. High-speed IO, 204 GB/s of memory bandwidth, and 32 GB of DRAM are capable of feeding multiple concurrent AI application pipelines. With Jetson AGX Orin, developers can now deploy large and complex models to solve problems like natural language understanding, 3D perception, and multi-sensor fusion. For next-gen autonomous machines: With 275 TOPS AI processing power on the developer kit, developers can deploy machine learning models in solving demanding challenges for advanced robotics and autonomous machines in the fields of manufacturing, logistics, retail, service, agriculture, smart city, and healthcare Jetson platform is the ideal solution. Jetpack 5.0: Jetpack 5.0 provides the software to power the Jetson AGX Orin and future Jetson modules, as well as existing Jetson modules based on the NVIDIA Xavier SoC. Jetpack 5.0 includes L4T with Linux kernel 5.10 and a reference file system based on Ubuntu 20.04. Jetpack 5.0 enables a full compute stack update with CUDA 11.x and new versions of cuDNN and Tensor RT. It will include UEFI as a CPU bootloader and will also bring support for OP-TEE as a trusted execution environment. Finally, there will be an update to DLA support for NVDLA 2.0, as well as a VPI update to support the next generation PVA v2. Works with Seeed Ecosystem: Deploying an AI idea can be faster, flexible, and even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real world.
