GPUs have become a key player in the high-performance computing ecosystem to help you ask and answer any question in real time and uncover new insights immediately. Until now, however, organizations have typically needed to extract data to specialized environments to take advantage of GPU acceleration for data science workloads, such as machine learning and deep learning. Now, Kinetica makes it possible for sophisticated data science models to be developed and made available on the same database platform as the one you’re using for business analytics.
In addition, the combination of a GPU-accelerated, in-memory database with the power of the cloud is heralding a new chapter in enterprise computing. Kinetica on the Nimbix Cloud harnesses the power of parallel GPUs to deliver real-time analytics, while also providing tremendous ease-of-use via the Nimbix Cloud environment.
Join Kinetica’s Manan Goel, VP of Product Marketing, and Leo Reiter, CTO of Nimbix for a live 45-minute webinar on Tuesday, March 21st at 10:00am PST to learn how:
- GPU-accelerated compute overcomes processing bottlenecks to deliver real-time analytics on large, complex and streaming datasets
- GPU-accelerated UDFs make it possible to converge Machine Learning, AI, Natural Language Processing and BI on one solution and democratize data science to the business units
- Delivering supercomputing GPUs in the cloud gives you unprecedented computing capabilities to help you solve some of your biggest data analytics challenges
- Nimbix Cloud brings an unprecedented level of performance and ease of use in running high-performance applications and workflows in the cloud
