WHITEPAPER
Deploying Machine Learning at Scale With Serverless Microservices
You'll learn about why deploying Machine Learning at scale is so difficult, and how some new software design and infrastructure paradigms can help.
You'll learn about why deploying Machine Learning at scale is so difficult, and how some new software design and infrastructure paradigms can help.
Designing and deploying Machine Learning at scale is a major challenge, no matter the size of your team.
If you want to see meaningful ROI on your Machine Learning investments and build a competitive advantage this year, you’ll first need to solve the last mile deployment problem.
Our whitepaper walks through:
Algorithmia empowers every developer and company to deploy, manage, and share their AI/ML model portfolio with ease. In addition to the Algorithm Marketplace, Algorithmia uses the serverless AI Layer to power our Hosting AI/ML Models and Enterprise Services.
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