CARMA DEVKIT

Retail price of CARMA DEVKIT :
The CUDA® on ARM Development Kit
A high-performance, energy-efficient development kit featuring an NVIDIA® Tegra ® 3 ARM CPU, NVIDIA® CUDA®-enabled GPU and hardware developed by SECO.

The CUDA® on ARM DevKit, codename CARMA, is a GPU computing development kit created to support the growing demand for energy-efficient computing initiatives around the world.
PACKAGE CONTENT :
- Quadmo747-X/T30 - Qseven 1.2 specs module, NVIDIA® Tegra® 3 with 2 GB RAM and 4GB eMMC
- NVIDIA® Quadro® 1000M
- Carma carrier board
- Power supply
- Cable kit
TECHNICAL SPECS FOR THE DEVELOPMENT KIT
| CPU | NVIDIA® Tegra® 3 ARM Cortex A9 Quad-Core |
| GPU | NVIDIA® Quadro™ 1000M with 96 CUDA® Cores |
| Memory | CPU Memory: 2 GB GPU Memory: 2 GB |
| Peak Performance | 270 Single Precision GFlops |
| CPU - GPU Interface | PCIe x4 Gen1 link |
| Network | 1x Gigabit Ethernet |
| Storage | 1x SATA 2.0 Connector |
| USB | 3x USB 2.0 |
| Display | HDMI |
| Software |
Linux Ubuntu Derivative OS CUDA® Tool Kit |
Specifications are subject to change.
Hereunder you will find the technical docs on CARMA DevKit.
Click on the link to download the document you are interested in.
CARMA Update to CUDA5
CARMA Dev Kit Quick start Guide
Datasheet SECOCQ7-MXM
Datasheet QuadMo747-X/T30 -
Manual SECOCQ7-MXM*
Manual QuadMo747-X/T30*
*To download SECO support files, Users need to be registered and logged in www.seco.com.
- CUDA Toolkit
- CUDA Software Development Kit
- LINUX KERNEL source code* **
- U-BOOT source code* **
- Recompiling linux kernel and u-boot for CARMA* **
- CARMA filesystem* **
- CARMA flashing tools* **
- CARMA User's guide for Boot and recovery procedures* **
*Register to download SECO support file.
If you already registered, please login into the PRIVATE AREA
**Required serial number
Support for the CARMA KIT installation and configuration is provided via:
Support for hardware issues, if not solved via FAQ and Forum sections, is provided by SECO Help Desk by submitting a support ticket
- For support on CUDA, please visit NVIDIA’s Developers website developer.nvidia.com
- For any Linux OS related issue our advice is to refer to the howtos available online
* Users need to be registered and logged in www.seco.com