Jetson TK1: Mobile Embedded Supercomputer Takes CUDA Everywhere by Mark Harris.
From the post:
Jetson TK1 is a tiny but full-featured computer designed for development of embedded and mobile applications. Jetson TK1 is exciting because it incorporates Tegra K1, the first mobile processor to feature a CUDA-capable GPU. Jetson TK1 brings the capabilities of Tegra K1 to developers in a compact, low-power platform that makes development as simple as developing on a PC.
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Tegra K1 is NVIDIA’s latest mobile processor. It features a Kepler GPU with 192 cores, an NVIDIA 4-plus-1 quad-core ARM Cortex-A15 CPU, integrated video encoding and decoding support, image/signal processing, and many other system-level features. The Kepler GPU in Tegra K1 is built on the same high-performance, energy-efficient Kepler GPU architecture that is found in our high-end GeForce, Quadro, and Tesla GPUs for graphics and computing. That makes it the only mobile processor today that supports CUDA 6 for computing and full desktop OpenGL 4.4 and DirectX 11 for graphics.
Tegra K1 is a parallel processor capable of over 300 GFLOP/s of 32-bit floating point computation. Not only is that a huge achievement in a processor with such a low power footprint (Tegra K1 power consumption is in the range of 5 Watts for real workloads), but K1′s support for CUDA and desktop graphics APIs means that much of your existing compute and graphics software will compile and run largely as-is on this platform.
Are you old enough to remember looking at the mini-computers on the back of most computer zines?
And then sighing at the price tag?
Times have changed!
Order Jetson TK1 Now, just $192
Jetson TK1 is available to pre-order today for $192. In the United States, it is available from the NVIDIA website, as well as newegg.com and Micro Center. See the Jetson TK1 page for details on international orders.
Some people, General Clapper comes to mind, use supercomputers to mine dots that are already connected together (phone data).
Other people, create algorithms to assist users in connecting dots between diverse and disparate data sources.
You know who my money is riding on.
You?