First, Google touts $150 AI dev kit. Now, Nvidia’s peddling a $99 Nano for GPU ML tinkerers. Do we hear $50? $50? • The Register

Jensen Huang, Nvidia’s CEO, paraded a range of goodies for GPU nerds, including a forthcoming credit-card sized AI computer board and software updates for its CUDA platform, during his company’s annual GPU Technology Conference in Silicon Valley on Monday.

If you’re looking for new and exciting architectures from Nvidia to train your beefy neural networks at ever increasing speeds, you’ll have to keep waiting.

The board contains a 128-core 921MHz Nvidia Maxwell GPU to accelerate neural network algorithms and similar mathematics, and a quad-core 1.4GHz ARM Cortex-A57 CPU cluster for running application code.

The $99 Jetson Nano board is, basically, for enthusiasts, it’s available now to order, and Nvidia’s hoping it’ll be a big hit with the builder community.

Nvidia’s Tesla T4 GPU was announced last year, it’s geared for inference workloads, and it will be previewed on Amazon Web Services within the coming weeks.

Speaking of AWS, you can also, we’re told, use Amazon’s IoT Greengrass service to deploy cloud-trained neural networks to Nvidia Jetson-based hardware out on the network edge.

Redmond’s Azure Nvidia GPU cloud instances now accelerate machine-learning code that taps into the CUDA-X-based RAPIDS library from Nv. The Windows giant and chip designer are also teaming up to tout video analytics.

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Nvidia’s new $99 pocket-sized AI computer is designed for DIY projects

Nvidia has just released a $99 pocket-sized computer named the Jetson Nano, targeted towards “Embedded designers, researchers, and DIY makers” who want to tinker with a system for offline AI development.

The developer kit is powered by a 64-bit quad-core ARM processor, and a 128-core Nvidia Maxwell GPU with 4GB of RAM to deliver processing speeds up to 472 Gflops.

The computer can run Linux out of the box, and supports popular machine learning platforms likeTensorFlow, PyTorch, Caffe, Keras, and MXNet, along with frameworks for vision and robotics development like OpenCV and ROS. This means that developers can use the Jetson Nano for video analytics with up to eight simultaneous HD streams – ideal for a small security camera setup.

The company also showed off a $250 model robot named the Jetbot, powered by the kit; the idea is to showcase the computer’s ability to aid in robotics application development, in addition to its AI chops.

You can buy the developer kit for $99 through Nvidia’s distributor network now, or wait till June to get the $129 production-ready version.

Nvidia’s not the only company with pocket-sized AI computers out there.

You can learn more about the Jetson Nano computer here, and check out Nvidia’s GitHub repository to get started on your own projects.

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Nvidia has created the first game demo using AI-generated graphics

“Obviously Nvidia cares a lot about generating graphics [and] we’re thinking about how AI is going to revolutionize the field.”

Nvidia has introduced a number of innovations, and one product of this work, it says, is the first ever video game demo with AI-generated graphics.

Nvidia’s system generates graphics using a few steps.

Using this environment as a framework, deep learning algorithms then generate the graphics for each different category of item in real time, pasting them on to the game engine’s models.

“The structure of the world is being created traditionally,” explains Catanzaro, “The only thing the AI generates is the graphics.” He adds that the demo itself is basic, and was put together by a single engineer.

This technology could be used in a hybrid graphics system, where the majority of a game is rendered using traditional methods, but AI is used to create the likenesses of people or objects.

So would an AI revolution in computer graphics be good for the company’s revenue? It certainly wouldn’t hurt, Catanzaro laughs.

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