NVIDIA JETSON FAMILY
The AI revolution is transforming industries, reaching products that are smaller and more affordable than ever before. But many companies have been constrained by the challenges of size, power, and AI compute density—until now.
The high-performance, low-power NVIDIA® Jetson™ platform gives you real-time artificial intelligence (AI) performance where you need it most—at the edge. Processing of complex data can now be done on-board small, power-efficient devices, so you can count on fast, accurate inference in network-constrained environments.
NVIDIA Jetson Developer Kits and modules, together with the NVIDIA JetPack™ SDK, provide everything you need to develop and deploy applications for multiple use cases through one unified software architecture. With a complete software stack, operating system, and suite of development tools designed for faster time-to-market, the NVIDIA Jetson platform dramatically reduces software development costs and enables scalable AI strategies for autonomous machines.
NVIDIA JETSON Nano
NVIDIA Jetson Nano is a small, powerful computer for embedded AI systems and IoT that delivers the power of modern AI in a low-power platform. Get started fast with the NVIDIA Jetpack SDK and a full desktop Linux environment and start exploring a new world of embedded products.
SYSTEM SPECIFICATIONS
GPU | 128-core Maxwell |
CPU | Quad-core ARM A57 @ 1.43 GHz |
Memory | 4 GB 64-bit LPDDR4 25.6 GB/s |
Storage | microSD (not included) |
Video Encoder | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) |
Video Decoder | 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30|(H.264/H.265) |
Camera | 2x MIPI CSI-2 DPHY lan |
Connectivity | Gigabit Ethernet, M.2 Key E |
Display | HDMI and DP |
USB | 4x USB 3.0, USB 2.0 Micro-B |
Others | GPIO, I2C, I2S, SPI, UART |
Mechanical | 100 mm x 80 mm x 29 mm |
Jetson TX2 series
Jetson TX2 is the fastest, most power-efficient embedded AI computing device. This 7.5-watt supercomputer on a module brings true AI computing at the edge. It's built around an NVIDIA Pascal™-family GPU and loaded with 8GB of memory and 59.7GB/s of memory bandwidth. It features a variety of standard hardware interfaces that make it easy to integrate it into a wide range of products and form factors.
SYSTEM SPECIFICATIONS
GPU | 256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores |
CPU | Dual-Core NVIDIA Denver 2 64-Bit CPU, Quad-Core ARM® Cortex®-A57 MPCore |
Memory | 8GB 128-bit LPDDR4 Memory, 1866 MHx - 59.7 GB/s |
Storage | 32GB eMMC 5.1 |
Power | 7.5W / 15W |
Jetson AGX Xavier series
The new Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, which enable developers to train and deploy neural networks quickly. Jetson AGX Xavier is supported by the NVIDIA JetPack SDK, which can help you save big by reducing development effort and expense.
SYSTEM SPECIFICATIONS
GAI Performance | 32 TOPs |
GPU | 512-core Volta GPU with 64 Tensor Cores, 11 TFLOPS (FP16), 22 TOPS (INT8) |
CPU | 8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3 |
Memory | 32GB 256-Bit LPDDR4x | 136.5GB/s |
Storage | 32GB eMMC 5.1 |
DL Accelerator | (2x) NVDLA Engines* | 5 TFLOPS (FP16), 10 TOPS (INT8) |
Vision Accelerator | 7-way VLIW Vision Processor* |
Video Encode | 2x1000MP/sec, 4x 4K @ 60 (HEVC), 8x 4K @ 30 (HEVC), 16x 1080p @ 60 (HEVC), 32x 1080p @ 30 (HEVC) |
Video Decode | 2x1500MP/sec, 2x 8K @ 30 (HEVC), 6x 4K @ 60 (HEVC), 12x 4K @ 30 (HEVC), 26x 1080p @ 60 (HEVC), 52x 1080p @ 30 (HEVC), 30x 1080p @ 30 (H.264) |
Size | 105 mm x 105 mm |
Jetson Xavier NX
Jetson Xavier NX brings up to 21 TOPs of accelerated AI computing to the edge in a small form factor module. It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Jetson Xavier NX is production-ready and supports all popular AI frameworks.
SYSTEM SPECIFICATIONS
10 W | 15 W | |
AI Performance | 14 TOPS (INT8) |
21 TOPS (INT8) |
GPU |
384-core NVIDIA Volta™ GPU with 48 Tensor Cores |
|
GPU Max Freq | 800 MHz | 1100 MHz |
CPU |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3 |
|
CPU Max Freq |
2-core @ 1500MHz
4-core @ 1200MHz |
2-core @ 1900MHz
4/6-core @ 1400Mhz |
Memory |
8 GB 128-bit LPDDR4x @ 1600 MHz
51.2GB/s |
|
Storage | 16 GB eMMC 5.1 | |
Power | 10W|15W | |
PCIe |
1 x1 + 1x4
(PCIe Gen3, Root Port & Endpoint) |
|
CSI Camera |
Up to 6 cameras (36 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) |
|
Video Encode |
2x464MP/sec (HEVC) 2x 4K @ 30 (HEVC) 6x 1080p @ 60 (HEVC) 14x 1080p @ 30 (HEVC) |
|
Video Decode |
2x690MP/sec (HEVC) 2x 4K @ 60 (HEVC) 4x 4K @ 30 (HEVC) 12x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC) 16x 1080p @ 30 (H.264) |
|
Display |
2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
|
DL Accelerator | 2x NVDLA Engines | |
Vision Accelerator |
7-Way VLIW Vision Processor | |
Networking | 10/100/1000 BASE-T Ethernet | |
Mechanical |
45 mm x 69.6 mm
260-pin SO-DIMM connector |