On-demand webinar

How Gumgum saves more than $500k annually on Amazon EC2
Computer vision company GumGum required a solution to help cut on huge Elastisearch costs for their machine learning data. Learn how they saved over $500k a year on their ML projects without compromising availability.
  • Overview of GumGum’s highly scalable stateful & non-containerized workloads
  • How GumGum are able to run EC2 spot instances with guaranteed availability.
  • A technical overview of the Spot products GumGum is using today.
Vaibhav Puranik
SVP of Engineering
Elana Krasner
Product Marketing
Spot by NetApp
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