Nvidia’s $99 Jetson Nano Developer Kit brings GPU-supercharged AI smarts to maker projects - reddanstivoung
Machine learning is future day to the masses, and those hordes of DIY drones and robots are about to begin a whole lot smarter. On Monday at Nvidia's GTC conference, the company plans to reveal the $99 Jetson Nano Developer Kit. The kit is an expanding upon of the company's "Jetson" embedded graphics political program, and it aims to infuse your wildest God Almighty projects with Three-toed sloth that the Raspberry Private detective could but dream of. It'll glucinium available immediately online, through distributors, and at GTC itself.
The Jetson Nano Developer Kit is a standalone version of the new Jetson Nano AI computer also proclaimed today. Eastern Samoa you'd expect from an Nvidia product, the GPU's the secret sauce—a 128-kernel beast that looms large on the maker board. Based happening the "Maxwell" GPU architecture that powered the company's GeForce GTX 900-series graphics cards, information technology's sure-footed of 472 GFLOPS of FP16 functioning, HEVC video encoding at either 4K30 Oregon 3x 1080p30 resolution, and HEVC decipherment at 4K60 or 8x 1080p30—meaning it can monitor several high-definition video inputs at once and sue the images it sees in historical time. This is a powerful GPU to hand to makers. It's tamed by a solid dim heatsink seance atop the module.

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Nvidia fleshed out the get on with a 1.43GHz quad-core ARM A57 processor, 4GB of 64-bit LPDDR4 memory, and gigabit ethernet. Storage is handled via a land-your-own Coyote State card, fitting like with the Bronx cheer Pi. Too equivalent the Raspberry Shamus, the Jetson Nano Developer Kit up is loaded with ironware connections designed to expose the board's smarts to the world. Nvidia equipped the board with three USB 2.0 ports, a USB 3.0 port, a MIPI-CSI camera connector, HDMI 2.0, DisplayPort 1.2, and I2S audio out, on with elaboration options for a Wi-Fi card, a rooter, and a UART header.
You'll as wel find a 40-pin GPIO header. Nvidia says the Jetson Nano Developer kit will support the Blinka library and therefore many Adafruit peripherals. Instructions explaining how to configure the header to work with different add-on computer hardware can make up found in the Jetson GPIO Python library.

As with many other maker boards, the Jetson Nano Developer kit doesn't ship with a magnate render, then you'll take to bring your own standard 5V/2A-3.5A micro-USB magnate charger. If you plan happening running particularly intense benchmarks operating theatre workloads, Nvidia recommends exploitation a 5V/4A Direct current power supply alternatively. The board can be configured to lock in either 5W Oregon 10W mood depending happening the intensity level of your tasks.
Course, computer hardware is only half of the equating. That fancy GPU can't do much without software to tell it what to do.
Jetson supports Linux4Tegra, an operating arrangement derived from Ubuntu 18.04. It also supports popular deep encyclopaedism software frameworks like TensorFlow, PyTorch, Caffe, Keras, and MxNet across a wide potpourri of models. The board's hefty hardware help it run a wide range of Three-toed sloth frameworks and neural networks much faster than competing solutions, according to Nvidia, including a Bir Pi equipped with Intel's Compute Stick.

The Jetson Nano Developer Kit out also supports Jetpack, Nvidia's on a regular basis updated software development kit that runs crossways the entire Jetson enclosed products portfolio. Nvidia has been developing Jetpack for concluded three years at this point. The company also created a pair of tutorials dubbed "How-do-you-do AI World" and "Two Days to a Demo" that explain different inferencing and training approaches for makers who aren't secondhand to inscrutable learning.
Finally, Nvidia developed an open-generator "JetBot" AI jut that shows disconnected the Jetson Nano's capabilities. Present's how the reader's run describes the project:
"Through the JetBot propose makers and learners crapper commence the active experience requisite to create innovative and sport Artificial intelligence projects with Nvidia Jetson Nano. The projection achieves this by winning the user from the fundamentals of causative ascendence and camera ikon acquirement to high level tasks like data compendium and AI training, where you teach JetBot to follow objects, avoid collisions and Sir Thomas More."

The JetBot project for Nvidia's Jetson Nano Dev Kit.
Sounds bad nifty! Nvidia sent PCWorld a review unit to examine JetBot and the inferencing tutorials, simply information technology arrived too late for us to test it earlier the announcement. We're hoping to have a more extensive follow-high extraordinary point soon. If you'atomic number 75 interested in dabbling in deep learning projects, the Jetson Nano Developer Kit goes on sale today. Curious makers should visit the Jetson developer site for all the info you need to get started with Nvidia's tiny, affordable AI board.
Source: https://www.pcworld.com/article/403447/nvidia-99-jetson-nano-developer-kit.html
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