NVIDIA Jetson Nano Powered Edge AI System Supports one PoE Camera, Operates in -30 to +60°C Temperature Range

NVIDIA Jetson Nano PoE Camera edge AI system

Axiomtek AIE100-903-FL is a fanless edge AI System powered by NVIDIA Jetson Nano system-on-module and designed to connect a single 15W PoE camera for AI computing, edge computing, smart retail, smart city, and more. The solution can operate in a wide range of temperatures from -30°C to +60°C and comes with an optional IP42-rated waterproof cover kit that makes it suitable for use in moist places and “semi-outdoor environments”  including freezers and under eaves (edges of the roof which overhang the face of a wall) and other outdoor locations with some protection against rain. Axiomtek AIE100-903-FL specifications: SoM – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 processors, 128 CUDA core NVIDIA Maxwell GPU, 4GB 64-bit LPDDR4 and 16GB eMMC flash Storage – 1x M.2 Key M 2280 with PCIe x4 NVMe SSD slot, 1x Micro SD slot Video Output – 1x HDMI 2.0 up to 4K2K @ 60 Hz Connectivity 1x Gigabit Ethernet port, 1x Gigabit Ethernet with 15W PoE …

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Advantech Edge AI Computer and PoE NVR Feature NVIDIA Jetson Xavier NX SoM

Advantech NVIDIA-Jetson-Xavier NX Edge AI Computer

Following the launch of NVIDIA Jetson Xavier NX SoM last year, we noted several third-party carrier boards and embedded PCs had been announced, and we expected more to come soon. Advantech has now unveiled two systems based on NVIDIA latest module with respectively  MIC-710AIX edge AI computer and MIC-710IVX NVR system equipped with eight PoE ports. MIC-710AIX edge AI computer Specifications: SoM – NVIDIA Jetson Xavier NX with 6-core NVIDIA Carmel ARM v8.2 64-bit CPU, 6MB L2 + 4MB L3 caches 384-core NVIDIA Volta GPU with 48 Tensor Cores 2x NVDLA deep learning accelerators System Memory – 8GB 128-bit LPDDR4x Storage – 16 GB eMMC 5.1 flash Storage – M.2 2280 Key-M socket for SSD; SD card socket Video Output – HDMI up to 3840×2160 @ 60 Hz Networking – 2x Gigabit Ethernet (RJ45) via Intel i210IT controller USB – 1x USB 3.0 host port, 1x USB 2.0 host port, 1x USB 2.0 internal interface, 1x Micro USB OTG port …

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NVIDIA Jetson Developer Kits Comparison – Nano vs TX2 vs Xavier NX vs AGX Xavier

Jetson Developer Kits Comparison: Nano vs TX2 vs Xavier NX vs AGX Xavier

NVIDIA launched Jetson Xavier NX developer kit yesterday, and I included a short comparison table in the announcement between Jetson Nano, TX2, Xavier NX, and AGX Xavier developer kits. But I thought it might be worthwhile to have a more detailed comparison in a separate post, so here we are. As expected, usually the more you spend on a board, the better the performance and features. The exception is Jetson TX2 that’s the same price as the new Jetson Xavier NX devkit, but delivers about a fifth of the FP16 AI performance. So as today, there’s little reason to buy a TX2 board for a new project unless you need some of the required features that are missing on Xavier NX. Jean-Luc Aufranc (CNXSoft)Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011. www.cnx-software.com Support CNX Software – …

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NVIDIA Introduces Jetson Xavier NX Developer Kit, and Cloud-Native Support

Jetson Xavier NX Developer Kit

NVIDIA Jetson Xavier NX SoM was launched last month for $459. But while some third-party carrier boards were also announced at the time, the company had yet to offer Jetson Xavier NX Developer Kit as they did for Jetson Nano. But as GTC 2020 conference is now taking place in the kitchen of Jensen Huang, NVIDIA CEO, the company had plenty to announce including Jetson Xavier NX Developer Kit as well as  “Cloud-Native” support for all Jetson boards and modules. NVIDIA Jetson Xavier NX Developer Kit Specifications: CPU – 6-core NVIDIA Carmel ARMv8.2 64-bit processor with 6 MB L2 + 4 MB L3 cache GPU – NVIDIA Volta architecture with 384 NVIDIA CUDA cores and 48 Tensor cores Accelerators 2x NVDLA Engines 7-Way VLIW Vision Processor Memory – 8 GB 128-bit LPDDR4x 51.2GB/s Storage – MicroSD slot, M.2 Key M socket for NVMe SSD Video Output – HDMI and DisplayPort Video Encode – 2x 4Kp30 | 6x 1080p 60 | …

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AAEON Compact Fanless Embedded Box PC Features NVIDIA Jetson Xavier-NX or Nano SoM

AAEON Jetson Xavier-NX Embedded Box PC

NVIDIA Jetson Xavier-NX module was officially launched about a week ago, and at the time we noted several carrier boards and mini PCs were launched or announced from companies like D3 Engineering, Diamond Systems, and Connect Tech. We should expect many new Jetson Xavier-NX embedded mini PC announcements over the next few weeks and months, and AAEON has now announced two new similar compact fanless embedded box PCs namely Boxer-8221AI and BOXER-8251AI with the same designed but powered by respectively Jetson Nano and Jetson Xavier-NX modules. Both models should share the same specifications except for the module: SoM Boxer-8221AI – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 processor @ 1.43 GHz, 128-core Maxwell GPU, 4GB LPDDR4,  16GB eMMC flash Boxer-8251AI – NVIDIA Jetson Xavier-NX with 6-core NVIDIA Carmel ARM v8.2 64-bit CPU, a 384-core NVIDIA Volta GPU with 48 Tensor Cores, 2x NVDLA deep learning accelerators (up to 21 TOPS at 15 Watts), 8 GB  LPDDR4x, 16 GB eMMC 5.1 …

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NVIDIA Jetson Xavier NX SoM Launched for $459, Third-Party Carrier Boards & Edge Computers Available

NVIDIA announced the Jetson Xavier NX system-on-module last November with an NVIDIA Xavier SOC with 6 NVIDIA Carmel Arm v8.2 cores, a 384-core NVIDIA Volta GPU and two NVDLA deep learning accelerators for a combined 21 TOPS at 15 Watts. The 69.6 x 45 mm module also includes 8 GB LPDDR4x RAM and a 16GB eMMC flash with a 260-pin SO-DIMM providing various I/Os from PCIe to MIPI CSI and display interfaces such as HDMI and eDP. NVIDIA expected the module to be “available in March for $399 to companies looking to create high-volume production edge systems”, and at the time I thought it would be hard to purchase for simple mortals, but the company just sent an email announcing the launch of the module and it’s now listed for $459 on Arrow Electronics with no stock and a 16 weeks lead time. While there’s no Jetson Xavier NX development kit, the SoM is pin-to-pin compatible with Jetson Nano module, …

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NVIDIA Jetson Nano Developer Kit-B01 Gets an Extra Camera Connector

Jetson Nano Developer Kit B01

Launched in March 2019, NVIDIA Jetson Nano developer kit offered an AI development platform for an affordable $99. The kit is comprised of Jetson Nano module and a carrier board, and the version I received last November ended with “A02”. Jetson Nano developer kit is now getting updated with B01 carrier board that adds an extra MIPI CSI connector and other few changes, including compatibility with NVIDIA Jetson Nano production module (with eMMC flash instead of MicroSD card). Jetson Nano developer kit-B01 specifications: B01 Jetson Nano CPU Module 128-core Maxwell GPU Quad-core Arm A57 processor @ 1.43 GHz System Memory  – 4GB 64-bit LPDDR4 @ 25.6 GB/s Storage  – microSD card slot Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) Dimensions – 70 x 45 mm B01 Baseboard 260-pin …

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Testing NVIDIA Jetson Nano Developer Kit with and without Fan

Jetson Nano 52Pi-ICE Tower Cooling Fan

A few weeks ago I received NVIDIA Jetson Nano for review together with 52Pi ICE Tower cooling fan which Seeed Studio included in the package, and yesterday I wrote a getting started guide showing how to setup the board, and play with inference samples leveraging the board’s AI capabilities. I’ll now test the board with the stock heatsink in both 5W and 10W modes, and see if thermal throttling does occur, and then I’ll fit the tower cooling fan to find out if we can extract more performance that way and how much lower the CPU temperature is. Jetson Nano Stress Tests with Stock Heatsink Let’s install SBC-Bench testing utility, check it’s properly installed, and run it in 5W mode: The temperature never went over 44.5°C, and no throttling occurred. tegrastats during 7-zip multi-core test: Only two Cortex-A57 cores are used even under load, and power consumption is around 3.3 Watts. Let’s run sbc-bench in 10W mode: The maximum temperature …

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