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NVIDIA Jetson AGX Orin Developer Kit: smallest and most powerful AI edge computer. The NVIDIA® Jetson AGX Orin™ Developer Kit is built with high-performance, power-efficient Jetson AGX Orin module, delivering up to 275 TOPS and 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factored
NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.
The newest member of Jetson Family, NVIDIA® Jetson AGX Orin™ Developer Kit, provides a giant leap forward for Robotics and Edge AI. With up to 275 TOPS of AI performance and power configurable between 15W and 50W, 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, 204GB/s of memory bandwidth, and 32GB 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.
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.
With Jetson AGX Orin, developers can now deploy large and complex models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.
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.
Jetson software includes The platform includes Jetson modules, which are small form-factor, high-performance computers, the JetPack SDK for end-to-end AI pipeline acceleration, and an ecosystem with sensors, SDKs, services, and products to speed up development.
Jetson Software comprises JetPack SDK, TAO & Pretrained AI Models from the NVIDIA NGCâ„¢ catalog, Triton Inference Server, NVIDIA Riva, Deep Stream SDK, and NVIDIA Isaac.
NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Tritonâ„¢ Inference Server to simplify the deployment of AI models at scale.
1 x NVIDIA Jetson AGX Orin Developer Kit: smallest and most powerful AI edge computer
Product Name |
AI edge computer |
---|---|
AI Performance |
275 TOPS (INT8) |
GPU |
NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor Cores |
Max GPU Freq |
1 GHz |
CPU |
12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 |
CPU Max Freq |
2 GHz |
Memory |
32GB 256-bit LPDDR5 204.8 GB/s |
Storage |
64GB eMMC 5.1 |
CSI Camera |
Up to 6 cameras (16 via virtual channels*) 16 lanes MIPI CSI-2 D-PHY 1.2 (up to 40Gbps) ,C-PHY 1.1 (up to 164Gbps) |
Video Encoder |
2x 4K60 ,4x 4K30 ,8x 1080p60 ,16x 1080p30 (H.265) |
Video Decoder |
1x 8K30 ,3x 4K60 ,6x 4K30 ,12x 1080p60 ,24x 1080p30 (H.265) |
UPHY |
2 x8 (or 1×8 + 2×4) ,1 x4 ,2 x1 (PCIe Gen4 ,Root Port & Endpoint) 3x USB 3.2 Single lane UFS |
Networking |
1x GbE 4x 10GbE |
Display |
1x 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 |
Other |
4x USB 2.0 4x UART ,3x SPI ,4x I2S ,8x I2C ,2x CAN ,DMIC & DSPK ,GPIOs |
Power |
15W ,30W ,50W |
Dimensions |
15W ,30W ,50W |
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Processor |
Amlogic S922X Processor (12nm) Quad-core Cortex-A73(2.2Ghz) and Dual-core Cortex-A53(2Ghz) ARMv8-A architecture with Neon and Crypto extensions Mali-G52 GPU with 6 x Execution Engines (800Mhz) |
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Power |
1 x DC jack : outer (negative) diameter 5.5mm ,inner(positive) diameter 2.1mm 7.5V ~ 16V (Recommend range of input) – DC 12V/2A power adapter is recommendedPower consumption: – IDLE : ≃ 1.5W (Performance governor) ,1.3W(Conservative governor) – CPU Stress (Passive Heat-Sink) : ≃ 5.4W (@1908/2208MHz ,Stock) ,5.8W (@2016/2400MHz ,Overclock) – CPU Stress (Active Cooling-FAN) : ≃ 6.1W (@1908/2208MHz ,Stock) ,6.4W (@2016/2400MHz ,Overclock) – Power-Off : ≃ 0.2W |
Memory |
LPDDR4 4GiB or 2GiB with 32-bit bus width Data rate: 3216 MT/s 1.1Volt low power design |
Storage |
1 x eMMC connector (8G ,16G ,32G ,64G and 128G are available) 1 x microSD slot (DS/HS modes up to UHS-I SDR104) |
Networking |
Optional WiFi or Ethernet USB adapters |
Video |
1 x HDMI 2.0 (up to 4K@60Hz with HDR ,CEC ,EDID) – Although the +5V Power pin is able to supply a minimum of 300mA ,according to HDMI 2.0 specification ,a sink shall not draw more than 50mA of current from the +5V Power pin. |
Audio |
1 x HDMI digital output |
External I/O |
1 x USB 3.0 Host port 1 x USB 2.0 Host port 1 x Debug serial console (UART) 1 x MIPI DSI 4Lane (TBD) 1 x Peripheral Expansion Header (40-pin ,2.54mm pitch) – 2 x DC 5V ,2 x DC 3.3V ,1 x DC 1.8V ,8 x GND – 1 x SPI – 1 x UART – 2 x I2C – 25 x GPIO (Max) – 2 x ADC input (10bit ,1.8V Max) – All of I/O signal level is 3.3 Volt except for ADC input at max 1.8 Volt |
Other features |
Built with a large passive heatsink System LEDS Indicators: – Red (PWR) – Solid light when DC power is connected – Blue (ALIVE) – Flashing like heartbeat while Kernel is running. Active Cooling Fan Connector (5V 2-pin) – Connector (2-pin ,1.25mm pitch) |
Dimensions |
Dimensions including Fan heatsink: 69mm x 56mm x 22mm Dimensions including Tall heatsink: 69mm x 56mm x 32mm |
Weight (gm) |
66g including a Tall heatsink |
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Model |
reComputer J4012 |
---|---|
Variant |
Jetson Orin NX 16GB |
AI Performance |
100 TOPS |
GPU |
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
GPU Max Frequency |
918 MHz |
CPU |
8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
CPU Max Frequency |
2 GHz |
Memory |
16GB 128-bit LPDDR5 102.4GB/s |
DL Accelerator |
2x NVDLA v2 |
DLA Max Frequency |
614 MHz |
Vision Accelerator |
1x PVA v2 |
Video Encoder |
1x 4K60 (H.265) ,3x 4K30 (H.265) 6x 1080p60 (H.265) ,12x 1080p30 (H.265) |
Video Decoder |
1x 8K30 (H.265) ,2x 4K60 (H.265) ,4x 4K30 (H.265) 9x 1080p60 (H.265) ,18x 1080p30 (H.265) |
Display |
1* HDMI 2.1 |
CSI Camera |
2* CSI (2-lane 15pin) |
M.2 Key |
1* M.2 Key M 1* M.2 Key E |
Fan |
1* 4 pin Fan Connector(5V PWM) |
CAN |
1* CAN |
Multifunctional Port |
1* 40-Pin Expansion header ,1* 12-Pin Control and UART header |
RTC |
RTC 2-pin ,RTC socket |
Operating Voltage |
9-19V |
Power Supply |
DC 12V/5A(Barrel Jack 5.5/2.1mm) |
Operating Temperature |
-10℃~60℃ |
Dimension (mm) |
130 x 120 x 58.5 |
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Module |
NVIDIA® Jetson Xavier™ NX 16GB |
---|---|
AI Perf |
21 TOPS |
GPU |
NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
CPU |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
DL Accelerator |
2x NVDLA Engines |
Vision Accelerator |
7-Way VLIW Vision Processor |
Memory |
8 GB 128-bit LPDDR4x @ 51.2GB/s |
Storage |
16 GB eMMC 5.1 |
Co-processor |
Raspberry Pi® RP2040 32-Bit Dual ARM Cortex-M0+ @ 133MHz |
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