Bigstream achieves 2X-5X seamless acceleration of Apache Spark workloads, projects 10X-30X with GPUs/FPGAs
March 14, 2017
Strata + Hadoop World 2017, San Jose, CA
Today, Bigstream announces the general availability of the industry’s only hyper-acceleration platform for big data. After years of research and nearly two years of stealth mode development, the Bigstream Hyper-acceleration Layer delivers 2X to 5X performance acceleration of Apache Spark workloads while requiring zero application code changes. Subsequent Bigstream releases will incorporate seamless acceleration using Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) that can achieve up to 30X performance acceleration of Spark SQL, Machine Learning and other big data platforms.
The following is a letter written by Bigstream Co-Founder and CEO, Maysam Lavasani, to our investors, advisors, and allies on Friday, March 10, 2017.
I am writing to let you know that Bigstream is about to announce our first generally available product. It is designed to deliver hyper-acceleration for a variety of big data and machine learning platforms, with Apache Spark being our initial focus. Following years of research and nearly two years of stealth mode development, Bigstream hyper-acceleration technology is going to change the way people think about acceleration using GPUs, FPGAs, and many-cores.