Supercomputer from Nvidia supports AI at the edge

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Nvidia has introduced the Jetson Xavier NX, a credit card-sized supercomputer, to target robotic and embedded computing devices at the edge.

With a compact form factor, the energy-efficient Jetson Xavier NX module delivers server-class performance up to 21 TOPS for running modern AI workloads, and consumes as little as 10W of power.

According to the company, the Jetson Xavier NX opens the door for embedded edge computing devices that demand increased performance but are constrained by size, weight, power budgets or cost. These include small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices and other industrial IoT systems.

“AI has become the enabling technology for modern robotics and embedded devices that will transform industries,” said Deepu Talla, vice president and general manager of Edge Computing at NVIDIA. “Many of these devices have been constrained from adding more AI features. Jetson Xavier NX lets our customers and partners dramatically increase AI capabilities without increasing the size or power consumption of the device.”

The Jetson Xavier is equipped with two 4K30 encode and two 4K60 decode channels and supports up to six CSI cameras and 12 lanes of MIPI CSI-2. It can be used for training, simulation and inference as part of an end-to-end system using a single system architecture and used to train a robot in a virtual environment and output to a real-world application.

The Jetson Xavier NX is supported by the NVIDIA JetPack software development kit, which is a complete AI software stack that can run modern and complex AI networks, accelerated libraries for deep learning as well as computer vision, computer graphics, multimedia and more.

Jetson Xavier NX module specifications:

  • GPU: NVIDIA Volta with 384 NVIDIA CUDA cores and 48 Tensor Cores, plus 2x NVDLA
  • CPU: 6-core Carmel Arm 64-bit CPU, 6MB L2 + 4MB L3
  • Video: 2x 4K30 Encode and 2x 4K60 Decode
  • Camera: Up to six CSI cameras (36 via virtual channels); 12 lanes (3x4 or 6x2) MIPI CSI-2
  • Memory: 8GB 128-bit LPDDR4x; 51.2GB/second
  • Connectivity: Gigabit Ethernet
  • OS Support: Ubuntu-based Linux
  • Module Size: 70x45mm

The Jetson Xavier NX offers a rich set of IOs, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs.

Compatibility with many peripherals and sensors, together with its small form factor and big performance, will bring new capabilities to embedded AI and industrial IoT systems, according to the company.

The Jetson Xavier NX is also pin-compatible with Jetson Nano, allowing shared hardware designs and those with Jetson Nano carrier boards and systems to upgrade to Jetson Xavier NX.

It also supports all major AI frameworks, including TensorFlow, PyTorch, MxNet, Caffe and others.