Jetson TK1 Development Kit مینی کامپیوتر با ۱۹۲ هسته CUDA و پردازشگر GPU

The NVIDIA Jetson TK1 developer kit gives you everything you need to unlock the power of the GPU for embedded systems applications.

It's built around the revolutionary NVIDIA Tegra® K1 SoC and uses the same NVIDIA Kepler™ computing core designed into supercomputers around the world. This gives you a fully functional NVIDIA CUDA® platform for quickly developing and deploying compute-intensive systems for computer vision, robotics, medicine, and more.

NVIDIA delivers the entire BSP and software stack, including CUDA, OpenGL 4.4, and Tegra-accelerated OpenCV. With a complete suite of development and profiling tools, plus out-of-the-box support for cameras and other peripherals, NVIDIA gives you the ideal solution for helping shape the future of embedded on our Jetson Embedded Portal.

- See more at: http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html#sthash.IeKV1VKI.dpuf

Jetson TK1 Development Kit مینی کامپیوتر با ۱۹۲ هسته CUDA و پردازشگر GPU

 

Jetson TK1 is NVIDIA's embedded Linux development platform featuring a Tegra K1 SOC (CPU+GPU+ISP in a single chip), selling for $192 USD. Jetson TK1 comes pre-installed with Linux4Tegra OS (basically Ubuntu 14.04 with pre-configured drivers). There is also some official support for running other distributions using the mainline kernel, discussed further in the Distributions and Mainline kernel sections below.

Besides the quad-core 2.3GHz ARM Cortex-A15 CPU and the revolutionary Tegra K1 GPU, the Jetson TK1 board includes similar features as a Raspberry Pi but also some PC-oriented features such as SATA, mini-PCIe and a fan to allow continuous operation under heavy workloads:

Jetson TK1 dev board

Hardware Features

  • Dimensions: 5" x 5" (127mm x 127mm) board
  • Tegra K1 SOC (CPU+GPU+ISP in a single chip, with typical power consumption between 1 to 5 Watts):
    • GPU: NVIDIA Kepler "GK20a" GPU with 192 SM3.2 CUDA cores (upto 326 GFLOPS)
    • CPU: NVIDIA "4-Plus-1" 2.32GHz ARM quad-core Cortex-A15 CPU with Cortex-A15 battery-saving shadow-core
  • DRAM: 2GB DDR3L 933MHz EMC x16 using 64-bit data width
  • Storage: 16GB fast eMMC 4.51 (routed to SDMMC4)
  • mini-PCIe: a half-height single-lane PEX slot (such as for Wifi, SSD RAID, FireWire or Ethernet addon cards)
  • SD/MMC card: a full-size slot (routed to SDMMC3)
  • USB 3.0: a full-size Type-A female socket
  • USB 2.0: a micro-AB female socket (for connecting to a PC, but can also be used as a spare USB 2.0 port using a micro-B male to female Type-A adapter that is sometimes included)
  • HDMI: a full-size port
  • RS232: a full-size DB9 serial port (routed to UART4)
  • Audio: an ALC5639 Realtek HD Audio codec with Mic in and Line out jacks (routed to DAP2)
  • Ethernet: a RTL8111GS Realtek 10/100/1000Base-T Gigabit LAN port using PEX
  • SATA: a full-size port that supports 2.5" and 3.5" disks, but is not hot-pluggable. (Turn off the power before plugging in SATA disk drives)
  • JTAG: a 2x10-pin 0.1" port for professional debugging
  • Power: a 12V DC barrel power jack and a 4-pin PC IDE power connector, using AS3722 PMIC
  • Fan: a fan-heatsink running on 12V (to allow safely running intense workloads continuously, but can usually be replaced by a heat-spreader or heatsink)

The following signals are available through the 125-pin 2mm-pitch expansion port:

  • Camera ports: 2 fast CSI-2 MIPI camera ports (one 4-lane and one 1-lane)
  • LCD port: LVDS and eDP Display Panel
  • Touchscreen ports: Touch SPI 1 x 4-lane + 1 x 1-lane CSI-2
  • UART
  • HSIC
  • I2C: 3 ports
  • GPIO: 7 x GPIO pins (1.8V). Camera CSI pins can also be used for extra GPIO if you don't use both cameras.

Front panel connector:

  • Green - Power LED
  • Orange - HDD LED
  • Red - Power Button
  • Purple / Blue - Reset Button

Hardware-accelerated APIs supported:

  • CUDA 6.0 (SM3.2, roughly the same as desktop SM3.5)
  • OpenGL 4.4
  • OpenGL ES 3.1
  • OpenMAX IL multimedia codec including H.264, VC-1 and VP8 through Gstreamer
  • NPP (CUDA optimized NVIDIA Performance Primitives)
  • OpenCV4Tegra (NEON + GLSL + quad-core CPU optimizations)
  • VisionWorks

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