Supercomputing analysis could monetise network data

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Integrated Device Technology has announced a supercomputing platform which can analyse 4G to 5G base station bandwidth data in real time.

Developed in partnership with NVIDIA and Orange Silicon Valley, the platform has the ability to analyse real-time data and will enable network operators to monetise the vast amount of data that flows through the communications systems.

By connecting clusters of low-power NVIDIA Tegra K1 mobile processors with IDT’s RapidIO interconnect and timing technology, the platform can deliver real-time data that network operators can use to provide consumers a more responsive and interactive experience.

The platform is designed for working with IoT appliances and wireless access networks that handle 4G and higher traffic and will work by being installed at geographically dispersed base stations along the edge of the network.

It is hoped that big data problems caused by vast quantities will be solved by distributing the computing capacity and delivering analysis of locally generated data, such as social media content.

Sailesh Chittipeddi, IDT’s vice president of Global Operations and Chief Technology Officer, said: "For example, if you tweet that you’ve just seen a movie and are headed out to dinner, some nearby dining options could pop up on your screen."

"Or the technology can be used for mass transit; if you’re standing at a bus stop, you can check your phone for the precise location of your bus. The possibilities are virtually endless."

The Supercomputing at the Edge platform uses IDT’s 20gbps interconnect technology to connect a low-latency cluster of NVIDIA Tegra K1 mobile processors.

Jag Bolari, of the Linley Group, said: "By taking mobile low-power GPU technology and connecting it with 100 ns latency RapidIO interconnect, this modular cluster can be deployed to distribute high-performance compute functionality to the edge of the wireless network, where it is most geographically sensitive."

"The innovation paves the path for co-locating real-time deployable analytics in the approximately 2 million base stations deployed annually in wireless networks."

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