Using GPUaaS in this way simplifies and automates data science, boosting productivity and significantly reducing time to market.
Explore how to use Dask over Kubernetes when handling large datasets in data preparation and ML training, with code examples and a link to a full demo, as well as practical tips to get you started.
Using GPUaaS in this way simplifies and automates data science, boosting productivity and significantly reducing time to market.
Summary of my MLOps NYC talk, major AI/ML & Data challenges and how they will be solved with emerging open source technologies
Still waiting for ML training to be over? Tired of running experiments manually? Not sure how to reproduce results? Wasting too much of your time on devops and data wrangling?
2020 will be about simplifying the way from data science to production, with an emphasis on bringing real – and scalable - business value.
The notions of collaborative innovation, openness and portability are driving enterprises to embrace open source technologies. Anyone can download and install Kubernetes, Jupyter, Spark, TensorFlow and Pytorch to run machine learning applications, but making these applications enterprise grade is a whole different story.
Discover Iguazio's "cloud-like" Intelligent Edge, powered by NVIDIA EGX, which enables data and compute intensive processing with seamless usability.