Visual showing a university robotic lab with students and researchers testing different robots using NVIDIA Jetson developer kits.

Anyone Can Make a Robot Move. NVIDIA Jetson Makes It Think.

Overview

Build Something Real This Semester With NVIDIA Jetson Developer Kits

NVIDIA Jetson™ is the agentic-ready AI platform for students, educators, and researchers building real-world AI. It delivers professional-grade compute, open generative AI model support, and a global developer community—everything you need to go from idea to something real.

Features

Start Building With NVIDIA Jetson

Agentic AI Out of the Box

Jetson ships with agent skills and open generative AI model support—no setup gymnastics required.

Built for Real-World Robotics

From autonomous machines to classroom bots, Jetson is purpose-built for AI that operates in the physical world.

A Jetson for Every Level

Start with Jetson Orin Nano Super and scale to Jetson AGX Thor. One platform grows with your ambitions.

You're Not Building Alone

Join a global community of Jetson developers. Get answers, share projects, and learn from builders at every level.

Educational Benefits

Built for Every Builder

Jetson for Students

Go from your first robotics project to a fully autonomous machine. Jetson is your entry point into real-world AI, powerful enough to grow with you.

Jetson for Educators

Bring cutting-edge AI into your curriculum without the complexity. Jetson gives students hands-on experience with the same platform used in industry.

Jetson for Researchers

Push the limits of autonomous systems with the compute power and agentic AI support you need to go from hypothesis to working prototype.

NVIDIA Jetson Developer Kits

Ready to build? Find your NVIDIA Jetson Developer Kit, from the Jetson Orin Nano Super to Jetson Thor, and buy today through a trusted partner.

Jetson Orin Nano Super Developer Kit

Your first robot deserves a real brain. Jetson Orin Nano Super is compact enough for your backpack and powerful enough to run real AI right out of the box. Build with Python, explore agentic skills, and get hands-on with the same technology powering real-world autonomous machines. No NVIDIA CUDA™ mastery required. Just build.

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Jetson AGX Orin Developer Kit

This is where classroom projects become real-world AI. Jetson AGX Orin brings serious compute to your research and coursework, handling computer vision, generative AI, and autonomous navigation with room to spare. Faculty rely on it across curriculum levels and researchers depend on it for demanding workloads. Whatever you're building next, Jetson AGX Orin is ready.

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Jetson Thor Developer Kit

This is the brain your robot has been waiting for. The most powerful platform in the Jetson lineup, Jetson Thor is the compute backbone for next-generation humanoids, multi-robot fleets, and autonomous systems that push the field forward. Run the largest reasoning models locally in real time, deploy complex vision-language AI at the edge, and build what others are still theorizing.

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Specifications

Find Your Fit

Every student's project is different. Compare compute, memory, power, and more to find the NVIDIA Jetson developer kit that's right for your coursework, research, or lab.

 NVIDIA Jetson Orin Nano Super<br /> Developer Kit NVIDIA Jetson AGX Orin<br /> Developer Kit NVIDIA Jetson AGX Thor<br /> Developer Kit
AI Performance 67 TOPS 275 TOPS 2070 TFLOPS (FP4&#151;sparse)
Module Jetson Orin Nano 8GB Jetson AGX Orin 64GB Jetson T5000
GPU 1024-core NVIDIA Ampere architecture GPU<br /> with 32 Tensor Cores 2048-core NVIDIA Ampere architecture GPU<br /> with 64 Tensor Cores 2560-core NVIDIA Blackwell architecture GPU with fifth-gen Tensor Cores<br /> Multi-Instance GPU (MIG) with 10 TPCs
CPU 6-core Arm&reg; Cortex&reg;-A78AE v8.2 64-bit CPU<br /> 1.5 MB L2 + 4 MB L3 12-core Arm&reg; Cortex&reg;-A78AE v8.2 64-bit CPU<br /> 3 MB L2 + 6 MB L3 14-core Arm&reg; Neoverse&reg;-V3AE 64-bit CPU<br /> 1 MB L2 Cache per core<br /> 16 MB Shared System L3 Cache
Memory 8 GB 128-bit LPDDR5<br /> 102 GB/s 64 GB 256-bit LPDDR5<br /> 204.8 GB/s 128 GB 256-bit LPDDR5X<br /> 273 GB/s
Networking* 1x GbE RJ45 connector with up to 10GbE 1x 5GbE RJ45 connector 1x QSFP28 (4x 25GbE)
I/O 4x USB-A 3.2 Gen2<br /> USB Type-C (UFP)<br /> 1x DisplayPort 1.2 (+MST)<br /> 40-pin expansion header (UART, SPI, I2S, I2C, GPIO)<br /> 12-pin button header | 4-pin fan header<br /> microSD slot | DC power jack USB Type-C: 2x USB 3.2 Gen2<br /> USB Type-A: 2x USB 3.2 Gen2, 2x USB 3.2 Gen1<br /> USB Micro-B: USB 2.0<br /> 1x DisplayPort 1.4a (+MST)<br /> 40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO)<br /> 12-pin automation header | microSD slot | DC power jack QSFP connector<br /> HDMI port<br /> DisplayPort<br /> 2x USB-A 3.2 | 2x USB-C 3.1<br /> Gigabit Ethernet<br /> 2x 13-pin CAN header<br /> Microfit power jack
Storage SD Card Slot + external NVMe via M.2 Key M 64 GB eMMC 5.1 1 TB NVMe M.2 Key M slot
Power 7 W-25 W 15 W-60 W 40 W-130 W

* Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.

A visual of a robot lab with students working on laptops and orange robotic arms.

Empower your Education with NVIDIA Jetson

NVIDIA offers special discounts on Jetson AGX Orin and Jetson Thor Developer Kits for students and educators. To qualify, please provide a valid academic institution email address. Upon approval, you’ll receive a discount code for purchase. Limit one of each kit and discounts are not available in all regions.

Resources

Student and Educator Options for NVIDIA Jetson

Get everything you need to learn AI and robotics, build your first project, and connect with developers around the world.

Getting Started Guides

Set up your Jetson and start building on day one.

Jetson AI Lab

Explore optimized tutorials, benchmarks, and generative AI models built to run on Jetson.

Jetson Forums

Got questions? Get answers from a global community of Jetson developers and makers.

NVIDIA Deep Learning Institute

Explore hands-on courses and workshops designed for students, educators, and researchers at every level.

NVIDIA Jetson Frequently Asked Questions

Jetson is an agentic-ready AI platform designed to help students, educators, and researchers build real-world robotics and autonomous systems. It delivers professional-grade compute power that lets you move from your first simple project to complex, industry-standard robotics applications.

Explore the Jetson AI Lab for tutorials and projects to see what you can build.

Agentic skills refer to pre-built capabilities and generative AI support that let your robots perceive, reason, and act autonomously without requiring you to write every line of code from scratch. This allows you to focus on the unique aspects of your project rather than low-level setup.

Review the NVIDIA JetPack™ components and agentic software to understand the software stack.

These kits represent different levels of compute power to grow with your ambitions. The Jetson Orin Nano Super is the ideal entry point for beginners and students, the Jetson AGX Orin offers more power for coursework and research, and Jetson Thor is the most powerful platform, designed for advanced robotics, humanoid research, and multi-robot fleets.

Compare the Jetson Developer Kits to choose the best one for your needs.

No. The Jetson platform is designed to be accessible, allowing you to build with familiar languages like Python and use existing agentic skills and open generative AI models right out of the box.

Learn how to start your first project with Jetson Getting Started Guides.

While Jetson is purpose-built for robotics and autonomous machines, it’s also highly effective for computer vision, data analytics, and running large language models (LLMs). It gives you a comprehensive desktop-based AI platform for any computationally complex work.

View examples of edge applications and AI frameworks you can develop.

The Jetson AI Lab is a central resource for developers to explore optimized tutorials, benchmarks, and generative AI models that are specifically designed to run on the Jetson platform. It is the best place to find project inspiration and step-by-step guidance.

Browse projects and tutorials at the Jetson AI Lab portal.

You can connect with a global community of makers, students, and professional developers on the Jetson forums. It’s a great place to ask questions, troubleshoot, and share your own projects with others.

Join the conversation on the Jetson Developer Forums.

Yes, Jetson developer kits are fully compatible with major AI frameworks, running efficiently on the Arm architecture. You can use the same libraries used in industry to develop and test your models locally.

Explore the software libraries and AI frameworks supported by JetPack.

Absolutely. You can integrate your Jetson kit with tools like NVIDIA Isaac™ for robotics simulation, Metropolis for smart city applications, and Holoscan for real-time sensor processing, helping you build more advanced edge applications.

Learn more about developing with NVIDIA AI frameworks to expand your project capabilities.

Jetson is an "agentic-ready" platform that combines hardware and software optimized for the physical world. It provides the performance needed for real-time autonomous navigation, vision, and reasoning, whereas standard PCs often lack the dedicated hardware acceleration needed for mobile robotics.

See why educators rely on Jetson for hands-on experience in their curriculum.

Yes, the NVIDIA Deep Learning Institute (DLI) provides hands-on courses and workshops designed for students, educators, and researchers at every level. These courses are excellent for gaining foundational and advanced skills in AI and robotics.

Start your training journey at the NVIDIA Deep Learning Institute.

Yes, the Jetson platform is designed to grow with your needs. Because the kits share the same software stack, you can prototype on a Jetson Orin Nano Super and later scale up your project to a more powerful kit like the Jetson AGX Orin or Jetson Thor without needing to relearn the entire platform.

Compare the full lineup in the Jetson Developer Kits specifications.

Yes, Jetson AGX Orin and Jetson Thor are specifically positioned as the compute backbone for advanced research. They’re capable of handling demanding workloads like computer vision, generative AI, and autonomous navigation, making them ideal for high-level coursework and prototypes.

Read more about Jetson for Researchers and Educators on our dedicated resources page.

Jetson Developer Kits generally require you to flash the JetPack SDK, which includes the operating system, libraries, and tools necessary for development. The "Getting Started" guides provide simple instructions on how to set this up on your first day.

Follow the Jetson Getting Started Guide for setup instructions.

You can purchase Jetson developer kits from a variety of authorized NVIDIA partners. The campaign page provides a list of trusted partners to help you find and buy the kit that fits your needs.

Locate a partner and buy your kit through our partner network.

Yes, the Jetson community is very active in sharing their robotics and AI projects. You can visit the Jetson AI Lab and the forums to see what other students and researchers have built, which can help provide ideas and technical guidance for your own work.

Get inspired by community-built projects.

Power requirements vary by kit, with the smaller kits being designed for compact, battery-powered robotics and the larger kits requiring more power for advanced compute tasks. Check the individual datasheet for your specific kit to ensure you have the correct power supply.

Access technical specifications and power requirements in our comparison table.

Yes, Jetson kits are designed to run open generative AI models locally, which is crucial for building autonomous agents that need to process information without relying on the cloud, ensuring lower latency and better privacy.

Find supported models in the Jetson AI Lab tutorials.

NVIDIA Jetson Orin Nano™ Super Developer Kit Quick Specs

AI Performance 67 TOPS
Module Jetson Orin Nano 8GB
GPU 1024-core NVIDIA Ampere architecture GPU
with 32 Tensor Cores
CPU 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU
1.5 MB L2 + 4 MB L3
Memory 8 GB 128-bit LPDDR5
102 GB/s
Networking* 1x GbE
I/O 4x USB-A 3.2 Gen2
USB Type-C (UFP)
1x DisplayPort 1.2 (+MST)
40-pin expansion header (UART, SPI, I2S, I2C, GPIO)
12-pin button header | 4-pin fan header
microSD slot | DC power jack
Storage SD Card Slot + external NVMe via M.2 Key M
Power 7 W–25 W

* Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.

NVIDIA Jetson AGX Orin™ Developer Kit Quick Specs

AI Performance 275 TOPS
Module Jetson AGX Orin 64GB
GPU 2048-core NVIDIA Ampere architecture GPU
with 64 Tensor Cores
CPU 12-core Arm® Cortex®-A78AE v8.2 64-bit CPU
3 MB L2 + 6 MB L3
Memory 64 GB 256-bit LPDDR5
204.8 GB/s
Networking* RJ45 connector with up to 10GbE
I/O USB Type-C: 2x USB 3.2 Gen2
USB Type-A: 2x USB 3.2 Gen2, 2x USB 3.2 Gen1
USB Micro-B: USB 2.0
1x DisplayPort 1.4a (+MST)
40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO)
12-pin automation header | microSD slot | DC power jack
Storage 64 GB eMMC 5.1
Power 15 W–60 W

* Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.

NVIDIA Jetson AGX Thor™ Developer Kit Quick Specs

AI Performance 2070 TFLOPS (FP4—sparse)
Module Jetson T5000
GPU 2560-core NVIDIA Blackwell architecture GPU with fifth-gen Tensor Cores
Multi-Instance GPU (MIG) with 10 TPCs
CPU 14-core Arm® Neoverse®-V3AE 64-bit CPU
1 MB L2 Cache per core
16 MB Shared System L3 Cache
Memory 128 GB 256-bit LPDDR5X
273 GB/s
Networking* 1x 5GbE RJ45 connector
1x QSFP28 (4x 25GbE)
I/O QSFP connector
HDMI port
DisplayPort
2x USB-A 3.2 | 2x USB-C 3.1
Gigabit Ethernet
2x 13-pin CAN header
Microfit power jack
Storage 1 TB NVMe M.2 Key M slot
Power 40 W–130 W

* Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.

Jetson Orin Nano Super<br /> Developer Kit Jetson AGX Orin<br /> Developer Kit Jetson AGX Thor<br /> Developer Kit
AI Performance 67 TOPS 275 TOPS 2070 TFLOPS (FP4 sparse)
GPU 1024-core NVIDIA Ampere GPU<br /> 32 Tensor Cores 2048-core NVIDIA Ampere GPU<br /> 64 Tensor Cores 2560-core NVIDIA Blackwell GPU<br /> 5th-gen Tensor Cores<br /> MIG with 10 TPCs
GPU Max Frequency 1020 MHz 1.3 GHz 1.57 GHz
CPU 6-core Arm Cortex-A78AE v8.2 64-bit<br /> 1.5MB L2 + 4MB L3 12-core Arm Cortex-A78AE v8.2 64-bit<br /> 3MB L2 + 6MB L3 14-core Arm Neoverse-V3AE 64-bit<br /> 1MB L2/core + 16MB L3
CPU Max Frequency 1.7 GHz 2.2 GHz 2.6 GHz
DL Accelerator - 2x NVDLA v2 (1.6 GHz) -
Vision Accelerator - 1x PVA v2 1x PVA v3
Memory 8GB 128-bit LPDDR5<br /> 102 GB/s 64GB 256-bit LPDDR5<br /> 204.8 GB/s 128GB 256-bit LPDDR5X<br /> 273 GB/s
Storage SD Card Slot + external NVMe<br /> via M.2 Key M 64GB eMMC 5.1 1TB NVMe (M.2 Key M)
Video Encode 1080p30 (CPU-based) 2x 4K60 | 4x 4K30<br /> 8x 1080p60 | 16x 1080p30 (H.265) 2x NVENC
Video Decode 1x 4K60 | 2x 4K30<br /> 5x 1080p60 | 11x 1080p30 (H.265) 1x 8K30 | 3x 4K60 | 7x 4K30<br /> 11x 1080p60 | 22x 1080p30 (H.265) 2x NVDEC
Camera 2x MIPI CSI-2<br /> 22-pin connectors 16-lane MIPI CSI-2 HSB via QSFP slot<br /> USB camera
PCIe M.2 Key M (x4 Gen3)<br /> M.2 Key M (x2 Gen3)<br /> M.2 Key E x16 slot (x8 Gen4)<br /> M.2 Key M (x4 Gen4<br /> M.2 Key E (x1 Gen4) M.2 Key M (x4 Gen5, NVMe)<br /> M.2 Key E (x1 Gen5)
USB 4x USB 3.2 Gen2 (Type-A)<br /> 1x USB Type-C (UFP) 2x USB 3.2 Gen2 (Type-C<br /> 2x USB 3.2 Gen2 + 2x Gen1 (Type-A)<br /> 1x USB 2.0 Micro-B 2x USB 3.2 Gen2 (Type-A)<br /> 2x USB 3.1 (Type-C)<br /> 1x USB Type-C (debug)
Networking 1x GbE 1x GbE + 1x 10GbE (RJ45) 1x 5GbE (RJ45)<br /> 1x QSFP28 (4x 25GbE)
Display 1x DisplayPort 1.2 (+MST) 1x DisplayPort 1.4a (+MST) 1x HDMI 2.0b<br /> 1x DisplayPort 1.4a
Other I/O 40-pin header (UART, SPI, I2S, I2C, GPIO)<br /> 12-pin button header<br /> 4-pin fan header<br /> microSD slot; DC power jack 40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO)<br /> 12-pin automation header<br /> 10-pin audio/JTAG headers<br /> 4-pin fan header; microSD slot 2x CAN header; 2x automation header JTAG; fan connector Audio headers; RTC battery connector Power/recovery/reset buttons M.2 Key E slot: WiFi 6E + Bluetooth
Power 7W - 25W 15W - 60W 40W - 130W
Mechanical 100mm x 79mm x 21mm 110mm x 110mm x 71.65mm 243.19mm x 112.40mm x 56.88mm
  NVIDIA Jetson Orin Nano Super Developer Kit NVIDIA Jetson AGX Orin Developer Kit NVIDIA Jetson AGX Thor Developer Kit
AI Performance 67 TOPS 275 TOPS 2070 TFLOPS (FP4 sparse)
GPU 1024-core NVIDIA Ampere GPU
32 Tensor Cores
2048-core NVIDIA Ampere GPU
64 Tensor Cores
2560-core NVIDIA Blackwell GPU
5th-gen Tensor Cores
MIG with 10 TPCs
GPU Max Frequency 1020 MHz 1.3 GHz 1.57 GHz
CPU 6-core Arm Cortex-A78AE v8.2 64-bit
1.5MB L2 + 4MB L3
12-core Arm Cortex-A78AE v8.2 64-bit
3MB L2 + 6MB L3
14-core Arm Neoverse-V3AE 64-bit
1MB L2/core + 16MB L3
CPU Max Frequency 1.7 GHz 2.2 GHz 2.6 GHz
DL Accelerator - 2x NVDLA v2 (1.6 GHz) -
Vision Accelerator - 1x PVA v2 1x PVA v3
Memory 8GB 128-bit LPDDR5
102 GB/s
64GB 256-bit LPDDR5
204.8 GB/s
128GB 256-bit LPDDR5X
273 GB/s
Storage SD Card Slot + external NVMe
via M.2 Key M
64GB eMMC 5.1 1TB NVMe (M.2 Key M)
Video Encode 1080p30 (CPU-based) 2x 4K60 | 4x 4K30
8x 1080p60 | 16x 1080p30 (H.265)
2x NVENC
Video Decode 1x 4K60 | 2x 4K30
5x 1080p60 | 11x 1080p30 (H.265)
1x 8K30 | 3x 4K60 | 7x 4K30
11x 1080p60 | 22x 1080p30 (H.265)
2x NVDEC
Camera 2x MIPI CSI-2
22-pin connectors
16-lane MIPI CSI-2 HSB via QSFP slot
USB camera
PCIe M.2 Key M (x4 Gen3)
M.2 Key M (x2 Gen3)
M.2 Key E
x16 slot (x8 Gen4)
M.2 Key M (x4 Gen4)
M.2 Key E (x1 Gen4)
M.2 Key M (x4 Gen5, NVMe)
M.2 Key E (x1 Gen5)
USB 4x USB 3.2 Gen2 (Type-A)
1x USB Type-C (UFP)
2x USB 3.2 Gen2 (Type-C)
2x USB 3.2 Gen2 + 2x Gen1 (Type-A)
1x USB 2.0 Micro-B
2x USB 3.2 Gen2 (Type-A)
2x USB 3.1 (Type-C)
1x USB Type-C (debug)
Networking 1x GbE 1x GbE + 1x 10GbE (RJ45) 1x 5GbE (RJ45)
1x QSFP28 (4x 25GbE)
Display 1x DisplayPort 1.2 (+MST) 1x DisplayPort 1.4a (+MST) 1x HDMI 2.0b
1x DisplayPort 1.4a
Other I/O 40-pin header (UART, SPI, I2S, I2C, GPIO)
12-pin button header
4-pin fan header
microSD slot; DC power jack
40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO)
12-pin automation header
10-pin audio/JTAG headers
4-pin fan header; microSD slot
2x CAN header; 2x automation header
JTAG; fan connector
Audio headers; RTC battery connector
Power/recovery/reset buttons
M.2 Key E slot: WiFi 6E + Bluetooth
Power 7W - 25W 15W - 60W 40W - 130W
Mechanical 100mm x 79mm x 21mm 110mm x 110mm x 71.65mm 243.19mm x 112.40mm x 56.88mm

Notes:
* USB 3.2, MGBE, and PCIe share UPHY lanes. See Product Design Guide for supported UPHY configurations.
* AGX Thor devkit board power may be higher depending on power supply and carrier board.
* See Jetson Orin Nano Series Data Sheet for DP 1.4a and HDMI 2.1 compatibility details.