Nvidia Announces $99 AI Development Board “Jetson Nano”
In recent years, various advancement in AI has triggered all major players to bring AI processing at the edge computing and in the same race Nvidia has recently launched a development board called Jetson Nano. NVIDIA Jetson Nano enables the development of millions of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
This is not new, recently Google also announced Coral dev board, its own AI board and Intel launched a Neural Compute Stick for providing high processing capability on edge devices. It’s certainly true that the Nano is competitively priced at $99. Intel, sells its Neural Compute Stick for $79, while Google’s Coral devkit is priced at $150 and USB accelerator at $75. But if this shows anything, it’s that Nvidia is entering a fertile market. It will be really interesting to see when AI-powered creations start to grow.
Without these AI powered boards, edge devices taking pictures or recording videos were not able to process it and they use to forward it to cloud for processing using GPUs and thus not real-time or can’t be applicable to mission critical applications. Now with AI powered boards, it will be able to handle tasks like object recognition and autonomous navigation without relying on cloud processing power.
Jetson Nano delivers 472 GFLOPs for running modern AI algorithms fast. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications like entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
|GPU||NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores|
|CPU||Quad-core ARM® Cortex®-A57 MPCore processor|
|Memory||4 GB 64-bit LPDDR4|
|Storage||16 GB eMMC 5.1 Flash|
|Video Encode||4K @ 30 (H.264/H.265)|
|Video Decode||4K @ 60 (H.264/H.265)|
|Camera||12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)|
|Display||HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous|
|UPHY||1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0|
|I/O||1x SDIO / 2x SPI / 6x I2C / 2x I2S / GPIOs|
|Size||69.6 mm x 45 mm|
|Mechanical||260-pin edge connector|
Nvidia is launching a developer kit of the Nano targeting “embedded designers, researchers, and DIY makers” for $99, and production-ready modules for commercial companies for $129 (with a minimum buy of 1,000 modules).
The company also unveiled a fun DIY project for any advanced makers: an open-source $250 autonomous robotics kit named JetBot (above). It includes a Jetson Nano along with a robot chassis, battery pack, and motors, allowing users to build their own self-driving robot.
|DEVELOPER KIT I/OS|
|USB||4x USB 3.0, USB 2.0 Micro-B|
|Camera Connector||1x MIPI CSI-2 DPHY lanes|
|Connectivity||Gigabit Ethernet, M.2 Key E|
|Storage||microSD (not included)|
|Display||HDMI 2.0 and eDP 1.4|
|Others||GPIO, I2C, I2S, SPI, UART|
Stay tuned for more updates on IoT and AI.