Bring your next-generation products to life with the world’s most powerful AI computer for energy-efficient autonomous machines. With 8x more performance compared to the previous generation, 275 TOPS for concurrent multi-AI inference streams, and high-speed interface support for multiple sensors, this device is an ideal solution for applications ranging from manufacturing and logistics to retail and healthcare.
Jetson AGX Orin 64GB
| AI Performance | 275 TOPS (INT8) |
|---|---|
| Memory | 64GB 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 2.1 (up to 40Gbps) | C-PHY 2.0 (up to 164Gbps) |
| Video Encode | 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1 |
| Video Decode | 1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60| 22x 1080p30 (H.265) H.264, VP9, AV1 |
| UPHY | Up to 2 x8, 1 x4, 2 x1 (PCIe Gen4, Root Port & Endpoint) 3x USB 3.2 Single lane UFS |
| Networking | 1x GbE 1x 10GbE |
| Display | 1x 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 |
| Power | 15W – 60W |
| Mechanical | 100mm x 87mm 699-pin Integrated Thermal Transfer Plate |
| Other I/O | 4x USB 2.0 4x UART, 3x SPI, 4x I2S, 8x I2C, 2x CAN, DMIC & DSPK, GPIOs |
| PCIE | Up to 2 x8 + 2 x4 + 2 x1 (PCIe Gen4, Root Port & Endpoint) |
Jetson AGX Orin Developer Kit 64GB
| Video Encode | 2x 4K60, 4x 4K30, 8x 1080p60, 16x 1080p30 (H.265) |
|---|---|
| Video Decode | 1x 8K30, 3x 4K60, 6x 4K30, 12x 1080p60, 24x 1080p30 (H.265) |
| Camera | 16 lane MIPI CSI-2 connector |
| PCIe | x16 PCIe slot supporting x8 PCIe Gen4 |
| RJ45 | Up to 10 GbE |
| M.2 Key M | x4 PCIe Gen 4 |
| M.2 Key E | x1 PCIe Gen 4, USB 2.0, UART, I2S |
| USB Type-C | 2x USB 3.2 Gen2 with USB-PD support |
| USB Type-A | 2x USB 3.2 Gen2, 2x USB 3.2 Gen1 |
| USB Micro-B | USB 2.0 |
| DisplayPort | DisplayPort 1.4a (+MST) |
| microSD slot | UHS-1 cards up to SDR104 mode |
| Other | 40-pin header (I2C, GPIO, SPI, CAN, I2S, UART, DMIC) 12-pin automation header 10-pin audio panel header 10-pin JTAG header 4-pin fan header 2-pin RTC battery backup connector DC power jack Power, Force Recovery, and Reset buttons |
| Dimensions | 110mm x 110mm x 71.65mm (Height includes feet, carrier board, module, and thermal solution |
Jetson AGX Orin 32GB
| GPU | NVIDIA Ampere architecture with 1792 NVIDIA® CUDA® cores and 56 Tensor Cores |
|---|---|
| CPU | 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
| DL Accelerator | 1x NVDLA v2.0 |
| Vision Accelerator | PVA v2.0 |
| 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 2.1 (up to 40Gbps) | C-PHY 2.0 (up to 164Gbps) |
| Video Encode | 1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265) H.264, H.265, AV1 |
| Video Decode | 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) H.264, VP9, AV1 |
| DLA Max Freq | 1.4 GHz |
| UPHY | Up to 2 x8, 1 x4, 2 x1 (PCIe Gen4, Root Port & Endpoint) 3x USB 3.2 Single lane UFS |
| Networking | 10/100/1000 BASE-T Ethernet |
| Display | 1x 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 |
| Other I/O | 4x USB 2.0 4x UART, 3x SPI, 4x I2S, 8x I2C, 2x CAN, DMIC & DSPK, GPIOs |
| Power | 15W – 40W |
| Mechanical | 100mm x 87mm 699-pin Integrated Thermal Transfer Plate |
| USB | 3x USB 3.2 gen2 + 4x USB 2.0 |
JETSON AGX ORIN ON THE FIELD
Getting Started with the Jetson AGX Orin Dev Kit
.In this video, the key features, components of the developer kit, and how to install/setup it are explained.
Next-Generation Robotics, Next-Generation Performance
Powered by the same AI software and cloud-native applications used across other NVIDIA platforms, Jetson AGX Orin delivers the performance and power efficiency that industries need to build autonomous machines at the edge. Watch Jetson AGX Orin in action on the Orion robot.
Pre-trained Models
Many AI applications share common needs such as classification, object detection, language translation, text reading, recommendation engines, sentiment analysis, and more. Pre-trained, optimized models in the NGC catalog can be fine-tuned using the NVIDIA TAO Toolkit and users’ own datasets. This reduces the time and cost required to bring AI models into production.
