This is a dev board, not a consumer product. And (contrary to the title) the press release explicitly says that it is not intended for "deep learning."
Acceleration is needed for training -- not running the models themselves. A quick glimpse of the power used (1 watt) lets you know exactly how much "acceleration" is going on in here. This is meant for tiny devices.
EDIT: My point is that this is a small-run dev board for a chip for some future $19 nannycam. It's not an "accelerator" you install on your PC to put your graphics card to shame running TensorFlow.
EDIT #2: This is another one of those HN threads that's overrun by enthusiasts. Jamming a chip onto a stick is simply how they sell embedded crap now.
Acceleration is needed for training -- not running the models themselves. A quick glimpse of the power used (1 watt) lets you know exactly how much "acceleration" is going on in here. This is meant for tiny devices.
EDIT: My point is that this is a small-run dev board for a chip for some future $19 nannycam. It's not an "accelerator" you install on your PC to put your graphics card to shame running TensorFlow.
EDIT #2: This is another one of those HN threads that's overrun by enthusiasts. Jamming a chip onto a stick is simply how they sell embedded crap now.
Here's a crypto chip that'll really get you guys going: http://www.atmel.com/tools/AT88CK590.aspx