The DEV-710AIL-NANO NVIDIA Jetson Nano AI Development Kit. The MIC-710AIL-DVA1 supports deep learning trained models.
| Name | DEV-710AIL-NANO | DEV-710AIL-NANO2 |
|---|---|---|
| MPN | MIC-710AIL-DVA1 | MIC-710AIL-DVA2 |
| Price | Call | Call |
| ATTRIBUTES | ||
| Size | 4.5×3.2×1.18 in (116x82x30 mm) | 4.5×3.2×1.18 in (116x82x30 mm) |
| CPU | NVIDIA Jetson Nano Quad Core ARM Cortex A57 | NVIDIA Jetson Nano Quad Core ARM Cortex A57 |
| Number of Cores / Threads | 4 | 4 |
| Speed Base / Turbo | 921MHz / 1.43GHz | 921MHz / 1.43GHz |
| Memory | 4 GB DDR4 Onboard | 4 GB DDR4 Onboard |
| Storage | 16GB eMMC onboard, M.2 M-Key 2280 NVMe, MicroSD | 16GB eMMC onboard, M.2 M-Key 2280 NVMe |
| Serial | 1x RS232 | 1x RS232 |
| USB3.0 | 1x USB 3.0 | 1x USB 3.0 |
| USB2.0 | 1x USB 2.0 | 1x USB 2.0 |
| USB OTG | 1x Micro USB | 1x Micro USB |
| Ethernet PHY | 1x 1000Base-T Gigabit Ethernet | 1x 1000Base-T Gigabit Ethernet |
| Wireless | N/A | N/A |
| Expansion | 1x Mini-PCIe | 1x Mini-PCIe |
| GPIO | N/A | N/A |
| Audio | N/A | N/A |
| Video | HDMI | HDMI |
| Power Supply | 12-24V (Power supply Optional) | 12-24V (Power supply Optional) |
| Power Connection | 2-Pin termainal Block | 2-Pin termainal Block |
| Operating Temperature | 0°C to 60°C | 0°C to 60°C |
| FORM FACTOR | 3.5 Inch, NVIDIA Jetson |
|---|---|
| PROCESSOR TYPE | NVIDIA Jetson Nano Quad Core ARM Cortex A57 MPCore NEON, Maxwell 128 CUDA Core Vulkan 1.1 GPU |
| PROCESSOR CORES | Quad (or more) |
| PROCESSOR CLOCK SPEED | 1.43 GHz |
| RAM TYPE | DDR4 Onboard |
| RAM | 4GB DDR4 onboard |
| VIDEO OUT | HDMI / DP / DP++ |
| ETHERNET | 1x 1000Base-T Gigabit Ethernet |
| WIRELESS | see datasheet |
| STORAGE | 16GB eMMC onboard, M.2 M-Key 2280 NVMe, MicroSD |
| SERIAL PORTS | 1x Serial ports (1x RS232) |
| USB 3.0 | 1x USB 3.0 |
| USB 2.0 | 1x USB 2.0, 1x Micro USB OTG |
| SERIAL (OTHER) | N/A |
| AUDIO | N/A |
| EXPANSION | Mini-PCIe |
| LOW OPERATING TEMPERATURE | 0°C (32°F) |
| HIGH OPERATING TEMPERATURE | 60°C (140°F) |
| ENVIRONMENTAL MISC. | N/A |
The DEV-710AIL-NANO NVIDIA Jetson Nano AI Development Kit offers an M.2 2280 NVMe for storage and a Mini PCIe slot for expansion. The MIC-710AIL-DVA1 supports deep learning trained models. The NVIDIA Jetson Nano Developer Kit provides a quad-core Arm® Cortex® A57 and 16G of eMMC.
FEATURES
KIT CONTENTS
This approach allows clients to develop a product using a commercial off the shelf (COTS) system development/baseboard/carrier board for the proof of concept or production units. If the product or project has specific dimensional, I/O or connector placement requirements a custom carrier board can be created in as little as a month. Use of an off-the-shelf carrier board allows clients to start developing their software while the custom carrier board is being designed and build. Using the SoM approach, product lifecycle concerns for the processor, memory and other SoM based components are minimized.
NVIDIA Jetson Nano lets you bring incredible new capabilities to millions of small, power-efficient 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.
Jetson Nano is also the perfect tool to start learning about AI and robotics in real-world settings, with ready-to-try projects and the support of an active and passionate developer community.
The System On Module approach provides the flexibility of a fully customized product at a greatly reduced cost.
EMAC is a global leader in system on module and carrier board embedded systems. The System on Module (SoM) is an ideal alternative to custom engineering. With the SoM approach you get the best of aspects of both buying an Off-The-Shelf Embedded Single Board Computer (SBC) and a Custom Engineered solution. With Off-The-Shelf embedded components such as a generic carrier board and SOM module, it is possible to start development on your software applications before the custom carrier board is complete; thus offering a reduced time to market for your system. A System on Module (SoM) is comprised of a small processor module with CPU bus accessibility and standard I/O functionality. The SoM module does not have any connectorization and is designed to be plugged into a Carrier Board.
Need a Custom Carrier board Based on an Nvidia Jetson Module, Learn More Here
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