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GPUs Accelerate brytlyt Enterprise Data Platform

logo1Today UK startup brytlyt announced an enterprise data platform using Nvidia’s Tegra K1 superchip that offers faster, more efficient and more flexible data processing and analytics.

brytlyt’s approach uses a network adaptor physically located on the same board as the Nvidia Tegra K1 system on a chip. With the GPU and CPU now on the same piece of silicon in the K1 SoC, both processors can access a shared memory at a very high speed, eliminating the current bottleneck of GPU accelerated databases. This novel configuration increases network bandwidth up to 25x, resulting in a faster, less expensive and more scalable solution.

According to brytlyt, the real magic is in the software that presents a virtualized database to the end user. brytlyt can now control the entire stack from hardware and network configuration through to software and user experience.

We’re confident this is a real paradigm-shift in data processing” said Richard Heyns, Founder and CEO of Brytlyt.

At an estimated cost of $400 per device, a thousand of these network-attached GPUs could mine Facebook’s 750TB dataset for valuable insight in under 15 minutes at a cost of $400,000. Current alternative solutions providing this kind of performance cost millions of dollars.

Brytlyt will demonstrate their technology at the GPU Technology Conference this week in San Jose.

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