Fastdata.io, a real-time stream processing company, has raised $1.5 million from NVIDIA and other investors to introduce a stream processing software engine. The software is being introduced to address what the company sees as a critical need for efficient, real-time big data processing. Fastdata.io will use the financing to invest in developing its product, marketing, and talent acquisition.
Fastdata.io, which is led by CEO and founder Alen Capalik, has developed high-performance computing (HPC) software, its FDIO Engine, which exploits the massively parallel processing capability of NVIDIA GPUs to provide economical true real-time processing of big data in motion.
Processing complex algorithms against terabytes of live streaming data, the company says that the FDIO Engine will accelerate three orders of magnitude faster than competing stream processing engines, with scaling potential up to five orders of magnitude on certain workloads. This speed will support application development in industries that require real-time processing like finance, fraud, security, artificial intelligence, machine learning, virtual and augmented reality, Internet of Things and autonomous vehicles. The FDIO Engine is also expected to power requirements by more than 90% in the data center whether running in the public cloud or on private servers, enabling reduction in power costs while reducing carbon emissions.
The engine is built from the ground up for both speed and efficiency and can process large amounts of streaming data while natively accelerating any existing algorithms out of the box, said Capalik, noting that this is made possible by low-level programming and the power of NVIDIA's GPU technology. According to Capalik, FDIO Engine will exploit NVIDIA's latest GPUs and its CUDA API to make stream processing more efficient and create new opportunities for businesses and new applications.
For more information, visit http://fastdata.io.