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Very cool! Can you talk more about your ML pipeline? How are you managing the process of running images through your pipeline? How are humans involved?


Our ML pipeline is deployed on AWS, using a mix of AWS Lambdas and Kubernetes containers on the brand new EKS.

We also did some amount of training on our own GPU machines on premises.

But we recently started to work with our YC batchmates of https://snark.ai , which enables us to speed up training by A LOT




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