Cloudera and NVIDIA are now offering RAPIDS Edition ML Runtimes to make it simpler for data scientists to use Cloudera Machine Learning to work with NVIDIA GPUs, bypassing the impediments of needing to configure CUDA drivers and library dependencies. Futurum’s Ron Westfall delves into how the augmented Cloudera NVIDIA alliance could expand data science community adoption of running more data science pipelines on NVIDIA GPU infrastructure to improve their data-driven operations over CPU implementations, particularly for massive cloud data workload applications and scaling out for large processes.
