Moving AI Initiatives from POC to Large Scale Production Deployments

Logo
Presented by

Thomas Henson, AI and Analytics, Dell Technologies

About this talk

As Machine Learning and Deep Learning projects evolve into mainstream adoption, the architectural considerations for platforms that support large scale production deployments of AI applications change significantly as you mature beyond small scale sandbox and proof-of-concept environments. How do you ensure IO bottlenecks are eliminated to keep your GPUs fully saturated with data? This session addresses these questions, draws key business and architectural requirements for compute and storage, and discusses how companies can achieve the maximum benefit from AI platforms that align with these requirements. This session concludes by introducing the Dell Technologies solution portfolio which makes AI simple, flexible, and accessible for organizations looking to deploy large scale machine learning and deep learning.
Related topics:

More from this channel

Upcoming talks (1)
On-demand talks (801)
Subscribers (66187)
Dell Technologies is instrumental in changing the digital landscape the world over, fueled by the desire to drive human progress through technology. Learn directly from industry experts, analysts and customers how to transform your business with Dell Technologies’ portfolio of products and solutions. Webinar presenters will cover a variety of topics to explain how you can leverage Dell Technologies’ portfolio to accelerate your business innovation. Register now for upcoming webinars or view past sessions on-demand.