Tag Archives: Jetson

UDOO BOLT, A Supercomputer with twice the Power of a MacBook Pro 13

One thing technology has taught us in the last few years, is the so-called powerful devices of yesterday, will not match the devices of today or tomorrow and this is something that is transcending in the hardware industry. Maker’s board have seen a drastic improvement ever since the first Arduino and the Rasberry Pi Single Board Computer were launched. Startups, makers, engineers and even the big corporations like Intel and Nvidia have all joined in improving the maker’s ecosystem with the launch of their own boards.


Improvements will always keep coming and one board that is going to redefine the maker’s ecosystem is the newly crowdfunded UDOO Bolt. We have seen boards like the Pi 3, Asus TinkerBoard, Nvidia Jetson and other high-performance boards, but the UDOO Bolt brings a new authority to this space. A maker board that carries an exceptional punch – A supercomputer in a maker footprint.

UDOO, an Indie developer company has released a new maker board after the UDOO x86 Ultra, and the new board reached its funding target on Kickstarter within fours hours after launch. This does not come as a shock considering the specifications of the board. The 12cm by the 12cm board which is called UDDO BOLT is almost twice as powerful as the board used on a MacBook 13 pro. The UDOO BOLT is a quantum leap compared to current maker boards: a portable, breakthrough supercomputer that goes up to 3.6 GHz thanks to the brand-new AMD Ryzen™ Embedded V1000 SoC, a top-notch, multicore CPU with a mobile GPU on par with GTX 950M and an integrated Arduino™-compatible platform, all wrapped into one.

The first and most amazing feature considering the size of the board is the type of SoC (System on Chip) that comes with the board. The tiny maker PC comes with an AMD Ryzen Embedded V1000B SoC which has an integrated ‘Radeon Vega’ graphics processing unit on the chip. The GPU is super impressive for it supports triple A (AAA) video game experience, High dynamic range (HDR) that helps the camera to capture greater detail from both bright and dark areas of a photo, Radeon FreeSync 2 and you can stream videos at 4K resolution with a running rate at 60 frames per seconds (fps) on four screens simultaneously.

This brings us to the next feature; one can view videos on four screens due to the presence of two HDMI 2.0 ports and two USB C ports. Other ports include two USB 3.1 Type-A, a single audio jack, a Gigabyte Ethernet Jack, a 19V DC power input and the Arduino compatible pinout.

You must be wondering why there is an Arduino port, this is only because the board has the same pin functionality of Arduino Uno and is even better since it has up to 12 analog inputs instead of 6, 7 PWM pins and the internal USB connection can implement other functions than serial UART like MIDI or Keyboard. Building IOT tools just got easier for all robotic engineers with its Arduino-compatible platform, which has a complete IOs for the CPU and Arduino onboard. The best part is that one can work with sensors using the Arduino platform without soldering because the board comes with grove connectors.

The UDOO BOLT supports two different types of operating systems; it supports Linux and Windows which means a person can run any application or software using the board. Also, the board can be classified into two different types based on the GPU, one comes with an AMD Radeon Vega 3, and the other has AMD Radeon Vega 8. The starting price is $229, and shipping begins in December.

The UDOO Bolt should comfortably outswing the likes of the Nvidia Jetson TX2 in areas of computer vision and deep learning and the fact it supports Windows will also give it more leverage but this won’t be an easy fight though. A worthy comparison will be between the UDOO Bolt and the new NVIDIA Jetson Xavier.

If there is any board you want to buy now, then the UDOO bolt is a board you should go for.

Nvidia’s Jetson Xavier is an AI Computer boasting a $10,000 Worth Of Power For Your Machines and Robots

NVIDIA Jetson Xavier is the latest addition to the Jetson platform. It’s an AI computer for autonomous machines, delivering the performance of a GPU workstation in an embedded module for a consumption under 30W. With multiple operating modes at 10W, 15W, and 30W, Jetson Xavier has greater than 10x the energy efficiency and more than 20x the performance of its predecessor, the Jetson TX2.

Nvidia Jetson Xavier Computer On Module
Nvidia Jetson Xavier CoM

Jetson is a product of Nvidia (Nvidia Jetson) and one of the most powerful embedded platforms for computer vision applications and AI on edge. The Jetson platform is a range of computation processor boards which consists of the Jetson TK1, TX1, and TX2. They’re powered by a Nvidia Tegra which utilizes the ARM Central Processing Unit (CPU). Various operating systems can run on them, such as Linux distros and QNX which is a commercial Real-Time Operating System (RTOS) designed primarily for embedded systems. Nvidia is adding now a new more powerful member to the Jetson Platform.

Nvidia is very excited to announce the release of Jetson Xavier, an Artificial Intelligence computer that works with autonomous machines giving off a GPU workstation in an embedded module and now available in a Jetson Xavier Developer Kit $1299 (USD). It has a super high performance of close to 30 trillion operations per second (TOPS).

The Nvidia Jetson Xavier Developer Kit
Jetson Xavier Developer Kit

Jetson Xavier is designed for robots, drones and other autonomous machines that need maximum compute at the edge to run modern AI workloads and solve problems in manufacturing, logistics, retail, service, agriculture and more. Jetson Xavier is also suitable for smart city applications and portable medical devices. Launched at Computex 2018 in Taiwan by Nvidia CEO Jensen Huang, the Nvidia Isaac Platform includes new hardware, software, and a virtual-world robot simulator that makes it easy for developers to create new kinds of robots.

Jensen Huang said at Nvidia’s Monday press conference at Computex in Taiwan,

This is the single longest processor project we have ever done in our company, Xavier has roughly the same processing power as a $10,000 workstation equipped with a graphics processing units. Plus, it’s easy on the power consumption, he added.

Jetson Xavier is capable of more than 30 TOPS (trillion operations per second) for deep learning and computer vision tasks. The 512-core Volta GPU with support for Tensor Cores and mixed-precision compute is capable of up to 10 TFLOPS FP16 and 20 TOPS INT8. Jetson Xavier’s dual NVDLA engines are capable of up to 5 TOPS each. It also has high-performance eight-core ARM64 CPU, a dedicated image processor, a video processor and a vision processor for accelerating computer vision tasks.

It also announced an “Isaac” software development platform for robots and other autonomous machines that run on its Linux-friendly octa-core “Jetson Xavier” module. The NVIDIA Isaac Software Development Kit (SDK) gives you a comprehensive set of frameworks, tools, APIs, and libraries to accelerate development of robotics algorithms and software.

The Isaac robotics software consists of:

  • Isaac SDK — a collection of APIs and tools to develop robotics algorithm software and runtime framework with fully accelerated libraries
  • Isaac IMX — Isaac Intelligent Machine Acceleration applications, a collection of NVIDIA-developed robotics algorithm software
  • Isaac Sim — a highly realistic virtual simulation environment for developers to train autonomous machines and perform hardware-in-the-loop testing with Jetson Xavier

The Jetson Xavier Developer Kit will be available for early access in August and open to the public in October. Developers using a Jetson TX2 or TX1 to develop autonomous machines using the JetPack SDK can sign up to be notified when they can apply for early access by completing a survey. More information may be found in the Xavier product page.

Making AI Projects Become Easier With NVIDIA Jetson

Hardware development boards became a key enabler for many of recent hardware projects. Such as Arduino and Raspberry Pi, these boards are great for beginners and hobbyists to kick start and bring ideas to reality.

Artificial Intelligence and machine learning are the technologies of the future. So it is important to know how the process goes, and what type of hardware to use. But with the limited computing capabilities of current boards, developers need a powerful and easy to use tools.

Nvidia provides a good solution with its Jetson boards, which are siblings to NVIDIA’s Drive PX boards for autonomous driving. The first board TX1 was released in November, 2015, and now Nvidia has just released the more powerful and power-efficient Jetson TX2 board.

Image credit: Android central

The TX2 is a complete supercomputer. It is a development tool and a field-ready module to power any AI-based equipment. Developers can use it to build equipment around, and also use it itself to run demos and simulations.

Jetson TX2 comes with NVIDIA’s Pascal™ architecture, which boasts 150 billion transistors built on 16 nanometer FinFET fabrication technology.

Some of technical specifications

  • NVIDIA Parker series Tegra X2: 256-core Pascal GPU and two 64-bit Denver CPU cores paired with four Cortex-A57 CPUs in an HMP configuration
  • 8GB of 128-bit LPDDR4 RAM
  • 32GB eMMC 5.1 onboard storage
  • 802.11b/g/n/ac 2×2 MIMO Wi-Fi
  • Bluetooth 4.1
  • USB 3.0 and USB 2.0
  • Gigabit Ethernet
  • SD card slot for external storage
  • SATA 2.0
  • Complete multi-channel PMIC
  • 400 pin high-speed and low-speed industry standard I/O connector
Nvidia Jetson TX1 and TX2 comparision

TX2 has two performance operating modes: Max-Q and Max-P. Max-Q is the TX2’s energy efficiency mode, at 7.5W, this mode clocks the Parker SoC for efficiency over performance (essentially placing it right before the bend in the power/performance curve) with NVIDIA claiming that this mode offers 2x the energy efficiency of the Jetson TX1. In this mode, TX2 should have similar performance to TX1 in the latter’s max performance mode.

Meanwhile the board’s Max-P mode is its maximum performance mode. In this mode NVIDIA sets the board TDP to 15W, allowing the TX2 to hit higher performance at the cost of some energy efficiency. NVIDIA claims that Max-P offers up to 2x the performance of the Jetson TX1, though as GPU clock speeds aren’t double TX1’s, it’s going to be a bit more sensitive on an application-by-application basis.

Image credit: anandtech

Devices such as robots, drones, 360 cameras, medical, etc., can use Jetson for “edge” machine learning. The ability to process data locally and with limited power is useful when connectivity bandwidth is limited or spotty (like in remote locations), latency is critical (real-time control), or where privacy and security is a concern.

Jetson TX2 is available as a developer kit for $500 at arrow.com. In fact, this kit comes with design guides and documentation, and is pre-flashed with a Linux development environment. It also supports the NVIDIA Jetpack SDK, which includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and more.

Finally, this video compares Jetson TX1 and TX2 boards: