|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 lanes
|
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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|