The Year 2019 Sees the Launch of Several Chip Platforms for Inference
At its annual GTC conference, Nvidia announced that it was launching a new version of its flagship robotics Jetson board called Nano. Nvidia Jetson Nano debuted at US$99 for the dev kit, and US$129 for the production-ready module. Jetson Nano is also smaller and has a lower power consumption than the TX2. Jetson Nano can perform 472 GFLOP, whereas TX2 has a potential 1TFLOP, so there is some loss of performance. Crucially, Jetson Nano is compatible with Nvidia’s robotics development software JetPack, and supports NVIDIA CUDA Toolkit 10.0, and libraries such as cuDNN 7.3 and TensorRT 5. The Software Development Kit (SDK) also includes the ability to natively install popular open-source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe, Keras, and MXNet, along with frameworks for computer vision and robotics development like OpenCV and ROS.
The announcement of Jetson Nano has also come in close proximity...
You must be a subscriber to view this ABI Insight.
To find out more about subscribing contact a representative about purchasing options.