AI Drives Data Business Fastdata.io to Get $1.5 Million Investment from Nvidia

In the era of big data, structured and unstructured data have grown explosively, data has become larger and larger, and the ability to process data has become particularly important. Fastdata.io, a real-time streaming data processing company, was founded in 2016 and is headquartered in Santa Monica, California. It currently employs 10 employees.

Fastdata.io developed high-performance computing (HPC) software, known as the FDIO engine, which leverages the GPU's massively parallel processing capabilities to provide real-time online processing of large data in motion. This technology can be used to accelerate applications such as financial, fraud, security, artificial intelligence, machine learning, virtual reality, self-driving, and Internet of Things. It can also reduce the power demand of data centers running on public clouds or private servers by more than 90%. This technology will save billions of dollars in power costs while significantly reducing the carbon emissions from cloud providers.

Fastdata.io announced today that it has received a $1.5 million investment from Nvidia. In Nvidia's view, the Fastdata.io stream processing software engine can use a graphics processing unit (GPU) to accelerate any type of real-time data processing and process real-time streams three orders of magnitude faster than other competitor streaming engines such as Apache Spark. . This is exactly what Nvidia needs. It is reported that Fastdata.io will use the new funds to invest in the development of the company's products, increase marketing efforts and introduce talent.

Jeff Herbst, vice president of business development at Nvidia, said in an interview with foreign media that Fastdata.io's product is equivalent to a turbocharged GPU. The world produces a lot of data every day. The data produced in the past six months is even more than in the past thousand years. Unfortunately, a lot of information cannot be processed in real time. If you can solve this pain point, you can solve a big problem in the data processing ecosystem. Based on this, Nvidia invested in Fastdata.io. In addition, Nvidia also invested in other similar companies such as MapD and Datalogue.

Fastdata.io will exhibit the companyâ€™s new products at the GPU Technology Conference in San Jose, Calif., May 8-11, 2017. A personal beta will be launched this summer and a public beta will be available later.

Like other large companies, Nvidia also gradually laid out various frontier industries. From this year's financial report, Nvidiaâ€™s revenue reached US$2.17 billion, an increase of 55% over the same period of last year, and achieved a 50% year-on-year increase in two consecutive quarters. The most crazy growth of the business occurred in the data center: from a surge of 97 million U.S. dollars in the same period last year to more than 296 million U.S. dollars. This increase was due to the promotion of deep learning and artificial intelligence technologies. Nvidia's deep learning chips have a rapid processing speed. With its expertise, a large number of data centers began to adopt products such as Nvidia's GPUs.

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