The agenda Thursday 5th of September
13:30 - Five Lessons for Improving AI Deep Learning Productivity
Johnny Dahlberg
Learn the best practices for performance analytics and maintenance of a deep learning system.
As GPU technology continues to advance, the demand for faster data continues to grow. In deep learning, input pipelines are responsible for a complex chain of actions that ultimately feed data into GPU memory, including reading from storage and pre-processing data.
These pipelines bring together multiple hardware systems, networking, CPUs, and storage along with sophisticated software systems to drive the data movement and transformation.
Key Takeaways
• “AI" is a Data Pipeline
• Don’t Throw Your Data into Data Lake
• Cloud or Not to Cloud?
• Moving into full production and scaling paradox
Johnny Dahlberg is a Senior Systems Engineer at VAST Data, where he works as a practitioner of data architecting, designing, deploying, and assisting organizations in managing their data architecture.
Sigurður Sæberg Þorsteinsson, CEO of Advania in Denmark and Renen Hallak, CEO of VAST Data will join Johnny on the stage and will be available to answer questions.