Nvidia launched an AI computer exclusively for developers, manufacturers and researchers, for $ 99

In recent years, progress in AI research has allowed developers to create algorithms for all areas, from image recognition to instant translation. However, in fact, in terms of applying these advances to the real world, we are only in the beginning, and more worryingly, this process is taking place relatively slowly by part technology. Hard support for AI has not been able to keep up with software development. On February 18, Nvidia announced a new product that it advertised as "speeding up the application of AI algorithms to the real world," which is a $ 99 AI computer device. named Jetson Nano, designed exclusively for developers, producers and artificial intelligence researchers.

1. 91% of technology managers believe that AI will be the center of the next technology revolution

The Nano is Nvidia's latest line of Jetson embedded computers, used to provide 'brains' for robots and other AI-enabled devices. Just integrate this device into your latest AI invention, and it can quickly handle tasks like object identification and automatic navigation without relying on the processing power of the cloud.

This type of setting is called edge computing, and because the data will often be processed from the built-in camera and microphone on the device, the hardware system will generally become faster, More reliable and especially safer. In fact, past Jetson circuit boards have also been used to provide computing power for a wide range of devices, from Lowe-assisted robots to Skydio automatic drones. But the new Jetson Nano introduced by Nvidia will be much more compact in size, so it will be significantly more flexible in different systems of this product.

More specifically, in this product launch, Nvidia launched a developer toolkit called Nano that targets designers, researchers and DIY device manufacturers for $ 99. dollars, and also devices in the form of commercial manufacturers modules for a price of $ 129 (minimum purchase of 1,000 modules).

1. Google and DeepMind apply AI to predict the output of wind farms

Besides, the company has also revealed an interesting DIY project for any manufacturer who is aspiring to further innovation in the field of AI, which is an autonomous robot worth $ 250. It is called JetBot (pictured above), including a Jetson Nano computer with a robot chassis, battery and engine, allowing users to build their own self-propelled robotic systems.

With a $ 99 toolkit, you'll get a 472 gigaflop computer with the heart of the ARM A57 quad-core processor, Nwell NVIDIA 128-core GPU and RAM of 4GB LPDDR. Besides, Jetson Nano is also capable of supporting a wide range of popular AI frameworks, including TensorFlow, PyTorch, Caffe, Keras and MXNet, so most algorithms will be supported to deploy quite easily. In addition, the device also has a range of common ports and connectivity interfaces, including USB-A and B, gigabit Ethernet and supports microSD storage slot.

1. AI engineer Facebook talks about deep learning, new programming languages ​​and hardware for artificial intelligence

Nvidia said it hopes the launch and especially the price of Jetson Nano will pave the way for stronger AI hardware development for new users:

'We know that a lot of production communities want to get involved in AI, but before that it was not possible because of the big barriers in terms of hardware support. The appearance of Jetson Nano will enable manufacturers to 'boldly' invest more in this potential field. '

While not the only or the best AI computer product on the market today, the price of this product is really competitive, especially when it comes to price performance. Several other similar product lines are currently on the market, including Intel's Neural Compute Stick ($ 79), or the Google Coral product line with a $ 150 devkit and accelerator. USB 75 dollars. Obviously, Nvidia's contribution will make this potential market much more exciting, and the most beneficiaries are users. The era of AI is getting closer to us than ever before.