Next-level AI performance for next-gen robotics and edge solutions.
Bring your next-gen products to life with the world’s most powerful embedded AI computers for generative AI, computer vision, and advanced robotics. The Jetson Orin™ family includes seven modules with identical architecture, offering up to 275 trillion operations per second (TOPS) and 8X the performance of the last generation for multimodal AI inference, plus high-speed interface support. The powerful software stack features pre-trained AI models, reference AI workflows and vertical application framework, accelerating end-to-end development for generative AI, as well as any edge AI and robotics application.
NVIDIA Jetson Orin Developer Kits enable development of full-featured AI applications for products based on Jetson Orin modules.
NVIDIA Jetson Orin modules deliver accelerated computing capabilities at different performance levels and prices to suit a variety of autonomous applications.
As the academic year starts, NVIDIA offers special discounts on Jetson AGX Orin™ and Jetson Orin Nano™ Developer Kits for students and educators.
The Jetson Orin Nano is ideal for learning and prototyping and supports various AI models with a robust software stack.
To qualify, please provide a valid academic institution email address. Upon approval, you'll receive a code for purchase. Individual students can buy one kit each, while there's no limit for verified EDU professors and institutions.
For countries outside of the US please use this link to purchase.
Jetson AGX Orin series | Jetson Orin NX series | Jetson Orin Nano series | |||||||
Jetson AGX Orin Developer Kit | Jetson AGX Orin 64GB | Jetson AGX Orin Industrial | Jetson AGX Orin 32GB | Jetson Orin NX 16GB | Jetson Orin NX 8GB | Jetson Orin Nano Developer Kit | Jetson Orin Nano 8GB | Jetson Orin Nano 4GB | |
AI Performance | 275 TOPS | 248 TOPS | 200 TOPS | 100 TOPS | 70 TOPS | 40 TOPS | 20 TOPS | ||
GPU | 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores | 1792-core NVIDIA Ampere architecture GPU with 56 Tensor Cores | 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores | 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores | 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores | ||||
GPU Max Frequency | 1.3 GHz | 1.2GHz | 930MHz | 918MHz | 765MHz | 625MHz | |||
CPU | 12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 |
8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 | 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 |
6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 |
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CPU Max Frequency | 2.2 GHz | 2.0 GHz | 2.2 GHz | 2 GHz | 1.5 GHz | ||||
DL Accelerator | 2x NVDLA v2 | 1x NVDLA v2 | - | ||||||
DLA Max Frequency | 1.6GHz | 1.4GHz | 614MHz | - | |||||
Vision Accelerator | 1x PVA v2 | - | |||||||
Safety Cluster Engine | - | - | - | ||||||
Memory | 64GB 256-bit LPDDR5 204.8GB/s |
64GB 256-bit LPDDR5 (+ ECC) 204.8GB/s |
32GB 256-bit LPDDR5 204.8GB/s |
16GB 128-bit LPDDR5 102.4GB/s |
8GB 128-bit LPDDR5 102.4GB/s |
8GB 128-bit LPDDR5 68 GB/s |
4GB 64-bit LPDDR5 34 GB/s |
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Storage | 64GB eMMC 5.1 | - (Supports external NVMe) |
- (SD Card Slot & external NVMe via M.2 Key M) |
- (Supports external NVMe) |
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Video Encode | 2x 4K60 (H.265) 4x 4K30 (H.265) 8x 1080p60 (H.265) 16x 1080p30 (H.265) |
1x 4K60 (H.265) 3x 4K30 (H.265) 7x 1080p60 (H.265) 15x 1080p30 (H.265) |
1x 4K60 (H.265) 3x 4K30 (H.265) 6x 1080p60 (H.265) 12x 1080p30 (H.265) |
1080p30 supported by 1-2 CPU cores |
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Video Decode | 1x 8K30 (H.265) 3x 4K60 (H.265) 7x 4K30 (H.265) 11x 1080p60 (H.265) 22x 1080p30 (H.265) |
1x 8K30 (H.265) 3x 4K60 (H.265) 7x 4K30 (H.265) 11x 1080p60 (H.265) 23x 1080p30 (H.265) |
1x 8K30 (H.265) 2x 4K60 (H.265) 4x 4K30 (H.265) 9x 1080p60 (H.265) 18x 1080p30 (H.265) |
1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) |
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CSI Camera | 16-lane MIPI CSI-2 connector |
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) |
Up to 4 cameras (8 via virtual channels***) 8 lanes MIPI CSI-2 D-PHY 2.1 (up to 20Gbps) |
2x MIPI CSI-2 22-pin Camera Connectors |
Up to 4 cameras (8 via virtual channels***) 8 lanes MIPI CSI-2 D-PHY 2.1 (up to 20Gbps) |
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PCIe* | x16 PCIe slot supporting x8 PCIe Gen4 M.2 Key M slot with x4 PCIe Gen4 M.2 Key E slot with x1 PCIe Gen4 |
Up to 2 x8 + 1 x4 + 2 x1 (PCIe Gen4, Root Port, & Endpoint) |
1 x4 + 3 x1 (PCIe Gen4, Root Port, & Endpoint) |
M.2 Key M slot with x4 PCIe Gen3 M.2 Key M slot with x2 PCIe Gen3 M.2 Key E slot |
1 x4 + 3 x1 (PCIe Gen3, Root Port, & Endpoint) |
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USB* | USB Type-C connector: 2x USB 3.2 Gen2 USB Type-A connector: 2x USB 3.2 Gen2, 2x USB 3.2 Gen1 USB Micro-B connector: USB 2.0 |
3x USB 3.2 Gen2 (10 Gbps) 4x USB 2.0 |
3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0 |
USB Type-A Connector: 4x USB 3.2 Gen2 USB Type-C Connector for UFP |
3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0 |
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Networking* | RJ45 connector with up to 10 GbE | 1x GbE 1x 10GbE |
1x GbE | 1xGbE Connector | 1x GbE | ||||
Display | 1x DisplayPort 1.4a (+MST) connector | 1x 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 | 1x 8K30 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 | 1x DisplayPort 1.2 (+MST) connector | 1x 4K30 multi-mode DP 1.2 (+MST)/eDP 1.4/HDMI 1.4** | ||||
Other I/O | 40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO) 12-pin automation header 10-pin audio panel header 10-pin JTAG header 4-pin fan header 2-pin RTC batter backup connector microSD slot DC power jack Power, Force Recovery, and Reset buttons |
4x UART, 3x SPI, 4x I2S, 8x I2C, 2x CAN, PWM, DMIC & DSPK, GPIOs | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs | 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO) 12-pin button header 4-pin fan header microSD Slot DC power jack |
3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs | ||||
Power | 15W - 60W | 15W - 75W | 15W - 40W | 10W - 25W | 10W - 20W | 7W - 15W | 7W - 10W | ||
Mechanical | 110mm x 110mm x 71.65mm (Height includes feet, carrier board, module, and thermal solution) |
100mm x 87mm 699-pin Molex Mirror Mezz Connector Integrated Thermal Transfer Plate |
69.6mm x 45mm 260-pin SO-DIMM connector |
100 mm x 79 mmx 21 mm (Height includes feet, carrier board, module, and thermal solution) |
69.6mm x 45mm 260-pin SO-DIMM connector |
See the Jetson Orin compute performance comparison.
Learn more about Jetson Orin and how ecosystem partners and customers are tapping into the Jetson platform to bring powerful AI solutions to market.
The Jetson partner ecosystem offers a wide range of AI and system software, developer tools, and custom software development. A broad range of Jetson Orin systems and carrier boards are available, as well as peripherals such as sensors, cameras, connectivity modules (5G, 4G, Wi-Fi), and more.
Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the NVIDIA NGC™ catalog are performance-optimized and ready to be fine-tuned with the NVIDIA TAO Toolkit and customer datasets, reducing time and cost for production of AI software development.
NVIDIA software platforms—including NVIDIA Isaac™ for robotics, Riva for AI speech, and Metropolis for video analytics —are available to speed vertical-specific applications.