Interesting this is the first time that I have come across a...

Interesting this is the first time that I have come across a pricing for Brainchip Studio. Can anyone else confirm this figure please?

http://www.eenewsanalog.com/news/brainchip-launches-neuromorphic-hardware-accelerator/page/0/1
BrainChip launches neuromorphic hardware accelerator: Page 2 of 2

September 12, 2017 // By Peter Clarke
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BrainChip Inc. (Aliso Viejo, California), developer of the Spiking Neuron Adaptive Processor (SNAP) neuromorphic technology, has released a hardware acceleration board featuring a Xilinx FPGA implementation of its technology.
The processing is done by six BrainChip Accelerator cores within the Xilinx FPGA. Each core performs fast, user-defined image scaling, spike generation, and spiking neural network comparison to recognize objects. Scaling images up and down increases the probability of finding objects, and due to the low-power characteristics of spiking neural networks, each core consumes approximately one watt while processing up to 100 frames per second.
When compared with GPU-accelerated deep learning classification neural networks such as GoogleNet and AlexNet, this is a 7x improvement of frames/second/watt.
"BrainChip’s spiking neural network technology is unique in its ability to provide outstanding performance while avoiding the math intensive, power hungry, and high-cost downsides of deep learning in convolutional neural networks," said Christoph Fritsch, senior director for industrial, scientific and medical business at Xilinx, in a statement issued by BrainChip.
BrainChip Accelerator is compatible with Windows or Linux computing platforms and is currently available to select law enforcement and intelligence agencies as an integrated server appliance. It may also be purchased as an add-in card for security integrators and OEMs.
BrainChip Studio is licensed on a per-video-channel basis at about $4,000 with a 20 percent annual maintenance fee. The accelerator is being offered at about $10,000 per card. Beachler added: "You can use the card for other applications or research but within the context of one-shot training."
A dedicated processor based on the SNN approach could be the next development from BrianChip. The company has previously discussed a SNAP 64 processor, but Beachler said that for now the focus is on meeting the detailed needs of applications via the FPGA-based hardware.
Related links and articles:
www.brainchipinc.com.
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