NVIDIA has just announced an upgrade to to their Jetson TX1 module, with Jetson TX2 “Embedded AI Computer” with Tegra X2 Parker SoC that either doubles the performance of its predecessor, or runs at more than twice the power efficiency, while drawing less than 7.5 watts of power.
The company provided a comparison showing the differences between TX1 and TX2 modules.
| Jetson TX2 | Jetson TX1 | |
| GPU | NVIDIA Pascal, 256 CUDA cores | NVIDIA Maxwell, 256 CUDA cores |
| CPU | HMP Dual Denver 2/2 MB L2 + Quad ARM® A57/2 MB L2 |
Quad ARM® A57/2 MB L2 |
| Video | 4K x 2K 60 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (12-Bit Support) |
4K x 2K 30 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (10-Bit Support) |
| Memory | 8 GB 128 bit LPDDR4 58.3 GB/s |
4 GB 64 bit LPDDR4 25.6 GB/s |
| Display | 2x DSI, 2x DP 1.2 / HDMI 2.0 / eDP 1.4 | 2x DSI, 1x eDP 1.4 / DP 1.2 / HDMI |
| CSI | Up to 6 Cameras (2 Lane) CSI2 D-PHY 1.2 (2.5 Gbps/Lane) |
Up to 6 Cameras (2 Lane) CSI2 D-PHY 1.1 (1.5 Gbps/Lane) |
| PCIe | Gen 2 | 1×4 + 1×1 OR 2×1 + 1×2 | Gen 2 | 1×4 + 1×1 |
| Data Storage | 32 GB eMMC, SDIO, SATA | 16 GB eMMC, SDIO, SATA |
| Other | CAN, UART, SPI, I2C, I2S, GPIOs | UART, SPI, I2C, I2S, GPIOs |
| USB | USB 3.0 + USB 2.0 | |
| Connectivity | 1x Gigabit Ethernet, 802.11ac WLAN, Bluetooth | |
| Mechanical | 50 mm x 87 mm (400-Pin Compatible Board-to-Board Connector) | |
The module still supports Linux for Tegra, as well as JetPack 3.0 SDK for AI computing with the following:
- TensorRT 1.0 neural network inference engine for production deployment of deep learning applications
- cuDNN 5.1, a GPU-accelerated library of primitives for deep neural networks
- VisionWorks™ 1.6, a software development package for computer vision and image processing
- The latest graphics drivers and APIs, including OpenGL 4.5, OpenGL ES 3.2, EGL 1.4 and Vulkan 1.0
- CUDA 8, which turns the GPU into a general-purpose massively parallel processor, giving developers access to tremendous performance and power-efficiency
Just like with Jetson TX1 module, NVIDIA also provides Jetson TX2 Developer Kit, with a carrier board, Jetson TX2 module, and various accessories which can be preordered for $599 in the United States and Europe, and start shipping on March 14. The devkit will be launched in other regions in a few weeks. With the launch of the new TX2 devkit, NVIDIA also reduced the price of Jetson TX1 developer kit to $499.
You’ll find more details, and the pre-order link on NVIDIA’s Embedded Modules & Devkits page.
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.
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no way.. again
Extremely overpriced and probably even more closed source than the regular ARM stuff.
@Shimon
ı agree
Such a shame that they keep it all so closed, because this is the closest ARM devkit I know of to achieving full PC-like performance, thanks to the impressive GPU. The restrictions of the platform are highlighted so clearly by the fact that you can’t even use hardware encoding under ffmpeg, due to the closed nature of the video drivers. Understandably they’re targeting an R&D community (esp. robotics and machine vision), but that same community values open source.
So I shall, reluctantly, pass.
“Artificial Intelligence Computer” LOL.
Does something like this work for ffmpeg?
http://developer.download.nvidia.com/compute/redist/ffmpeg/1511-patch/FFMPEG-with-NVIDIA-Acceleration-on-Ubuntu_UG_v01.pdf
Do consider Nvidia have a big PC graphics market, would they really kill that with a Arm PC, I doubt it! This is a different market segment so no under cutting there PC sales.
Jetson TX2 benchmarks @ http://www.phoronix.com/scan.php?page=article&item=jetson-tegra-x2&num=2
Charbax videos about Jetson TX2: https://www.youtube.com/watch?v=gyP68VkPhck