Kinetica in Motion
Forrester, as a guest of Kinetica, held a webinar this month about how digital business is driving rapid expansion and sophistication of data and insight, and why it’s necessary to augment traditional CPU-bound analytics with GPUs, in-memory processing, and machine …Read More
GPU-accelerated computing is one of the hottest trends among technology companies here in Silicon Valley. Companies including Google and Facebook are building out huge data centers leveraging parallel compute for machine learning, deep learning, and accelerated compute. Being able to …Read More
With Version 6.0, Kinetica introduces user-defined functions (UDFs), enabling GPU-accelerated data science logic to power advanced business analytics, on a single database platform.
User-defined functions (UDFs) enable compute as well as data-processing, within the database. Such ‘in-database processing’ is available …Read More
You have questions. We have answers! As we pave a new market for hardware-accelerated databases, we’re frequently running into the same questions with eager-to-learn prospects and researchers. Here are some of the most popular ones, and you can find many …Read More
With 2016 coming to a close, we’re seeing a proliferation of “big data prediction” reports coming out nearly every day. You’re probably wondering which trends will actually come to a fruition and have an impact on your industry. As a …Read More