Paperspace goes serverless to simplify AI deployment in the cloud

TechCrunch | 3/21/2018 | Ron Miller
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Building a GPU-fueled infrastructure service is not a simple matter for a startup to undertake, but that’s precisely what Paperspace has set out to do. Today, it took it to the next level when it announced Gradient, a service platform that eliminates the need to deploy servers for AI and machine learning projects.

Like any serverless architecture, the servers don’t really go away, but the need to deploy them manually does. Gradient provides the means to simply deploy code and Paperspace will take care of all the allocation and management, removing a big piece of the complexity associated with building machine learning models.

Dillon - Erb - Company - Co-founder - CEO

Dillon Erb, company co-founder and CEO, says that when they launched the company several years ago, GPUs were not as commonly available as a cloud service as they are today. They initially provided a way to launch GPU instances in virtual machines, something they still do, but they saw a problem around a lack of tooling.

Erb explained that large companies tend to build...
(Excerpt) Read more at: TechCrunch
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