Thursday, June 18th 2020
IBASE Announces NVIDIA Jetson TX2 AI Computing Platform for AIoT Applications
IBASE Technology Inc. (TPEx: 8050), a world-leading manufacturer of industrial motherboard boards and embedded computing solutions, has revealed its latest EC-3200 AI computing platform that is based on the cutting-edge power-efficient and high-performance NVIDIA Jetson Tegra X2 (TX2) processor. The NVIDIA Jetson TX2 pairs a dual-core Denver 2 alongside a quad-core ARM Cortex -A57 processor and provides 256 CUDA cores on the NVIDIA's advanced Pascal GPU architecture with up to 1.33 TFLOPS, delivering exceptional AI performance.
Designed to operate under an extended temperature range from -20°C to +60°C, the EC-3200 leverages the integrated GPU-computing power of the Jetson TX2 platform in building edge inference servers to analyze and better manage real time traffic flow in smart cities or to optimize the efficiency of operational processes in intelligent factories. "Current edge and cloud-based AI products require better computational and video analytics capability to perform demanding real-time data processing and overcome latency issues," said Wilson Lin, Director of IBASE Product Planning Department. "The EC-3200 is no doubt a durable solution, especially built with a fanless design for non-stop operation and takes advantage of the GPU-accelerated parallel processing of NVIDIA Jetson TX2 to handle data intensive and mission-critical workloads with power efficiency and unmatched reliability."
With dimensions of 127 (W) x 137 (D) x 46 (H) mm, the EC-3200 comes with 8 GB LPDDR4 memory and 32 GB eMMC storage on board. To connect to essential peripherals, front I/O interfaces provide a GbE, an HDMI (1.4), two USB 3.0 and two USB 2.0 ports, while a DB9 connector (For RS232 or CAN bus), a Micro USB slot, as well as an external 10-pin GPIO port are located on the right side. The two M.2 expansion slots are designed to support optional SSD storage (M2280) and WAN module (E3042). The system is outfitted with a total of four external antenna ports to enhance throughput and connection reliability in outdoor environments. The OS is based on a custom made Ubuntu 16.04 with Jetpack 3.2.1 and L4T 28.2.
EC-3200 FEATURES:
Designed to operate under an extended temperature range from -20°C to +60°C, the EC-3200 leverages the integrated GPU-computing power of the Jetson TX2 platform in building edge inference servers to analyze and better manage real time traffic flow in smart cities or to optimize the efficiency of operational processes in intelligent factories. "Current edge and cloud-based AI products require better computational and video analytics capability to perform demanding real-time data processing and overcome latency issues," said Wilson Lin, Director of IBASE Product Planning Department. "The EC-3200 is no doubt a durable solution, especially built with a fanless design for non-stop operation and takes advantage of the GPU-accelerated parallel processing of NVIDIA Jetson TX2 to handle data intensive and mission-critical workloads with power efficiency and unmatched reliability."
EC-3200 FEATURES:
- NVIDIA Jetson TX2, Quad Core, 64-bit, 256 CUDA cores
- 8 GB Memory / 32 GB eMMC 5.1 / Single GbE
- 2x M.2 socket (M2280 & E3042), support SSD/WiFi/BT/LTE
- Fanless design with operating temperature range from -20°C to +60°C
- Designed for wall-mounting and DIN rail mounting
- Custom made BSP based Ubuntu 16.04, Jetpack 3.2.1 and L4T 28.2
4 Comments on IBASE Announces NVIDIA Jetson TX2 AI Computing Platform for AIoT Applications
the TX2 is EOL so kinda late for a product launch... but having setup one last week, it is a bitch and a half to flash if the SDK doesn't properly detect it across microUSB.
The Jetson Nano and NX flash from built in SD card. You use etcher or w/e to image a micro SD as you would a raspi, plug in the imaged SD and boot the device, which then images the eMMC.
The TX2 and older... flash across microUSB so it takes a bit, also requires a host system running 16.04 or 18.04, does not yet support 20.04.
TX2 is an interesting board, it is ITX, would make a nice dev box in a thin ITX case, it is about twice as powerful as a Jetson Nano but is definitely earlier in the ecosystem of support.