Cortex

AI

model serving

SHOW HN2020

65points
19comments
#913of 3,028 in 2020
Top 31%of 2020 by points

How HN took it

LovedMost comments that take a side are positive

4 positive, 6 neutral or asking, 0 mixed, 0 critical, out of 10 comments about the project. Thread score +0.22.

Idea: 1 for, 0 againstExecution: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Cleaner and cheaper alternative to SageMaker

    From 2 comments
    • This certainly looks like a cleaner way to deploy an ML model than SageMaker. Couple of questions: * Is this really for more intensive model inference applications that need a…
      itsderek23 on HN
    • In general, Cortex will be significantly cheaper because you're only paying AWS for EC2 (the bulk of the bill) and the other AWS services used (a much smaller portion of the…
      calebkaiser on HN
  • Inspired other projects such as chantilly

    From 1 comment
    • Hey there, great work. I used Cortex as an inspiration when designing chantilly: https://github.com/creme-ml/chantilly, which is a much less ambitious solution tailored towards…
      Lemaxoxo on HN

Objections

  • Likely overkill for small models that do not need a cluster

    From 2 comments
    • This certainly looks like a cleaner way to deploy an ML model than SageMaker. Couple of questions: * Is this really for more intensive model inference applications that need a…
      itsderek23 on HN
    • You're 100% right that Cortex is designed for the production use-case. A lot of our users are running Cortex for "small" production use cases, since the Cortex cluster can…
      calebkaiser on HN
  • Lacks built-in API authentication; users need AWS API Gateway

    From 1 comment
    • Right now, users handle API auth by using AWS API gateway in front of Cortex, but incorporating AWS API Gateway into Cortex to automate this is on our short term roadmap.
      calebkaiser on HN

Requests

  • Managed service offering

    From 1 comment
    • Is it possible to partner with you to offer a managed service for Cortex? We are looking at your solution to offer our clients for deployment.
      cgoltsev on HN
  • Built-in API Gateway integration for authentication

    From 1 comment
    • Right now, users handle API auth by using AWS API gateway in front of Cortex, but incorporating AWS API Gateway into Cortex to automate this is on our short term roadmap.
      calebkaiser on HN
  • Tighter version control integration

    From 2 comments
    • This certainly looks like a cleaner way to deploy an ML model than SageMaker. Couple of questions: * Is this really for more intensive model inference applications that need a…
      itsderek23 on HN
    • You're 100% right that Cortex is designed for the production use-case. A lot of our users are running Cortex for "small" production use cases, since the Cortex cluster can…
      calebkaiser on HN

Questions

  • Is it suitable for small models without a cluster?

    From 1 comment
    • This certainly looks like a cleaner way to deploy an ML model than SageMaker. Couple of questions: * Is this really for more intensive model inference applications that need a…
      itsderek23 on HN
  • Can it be run cheaply for a side project?

    From 1 comment
    • One of the things that has deterred me from SageMaker is how expensive it can be for a side project. Real-time endpoints start at $40-$50 per month, which would be a bit too much…
      dodata on HN
  • How does it compare to Lambda and Kubeflow?

    From 2 comments
    • Why would I use this over deploying the model to a lambda function aside from lack of GPU? (not trying to be confrontational, genuinely don't know) Won't lambda functions scale…
      cameronfraser on HN
    • How is this compared to KubeFlow?
      _____smurf_____ on HN

Alternatives named

  • SageMaker

    From 2 comments
    • This certainly looks like a cleaner way to deploy an ML model than SageMaker. Couple of questions: * Is this really for more intensive model inference applications that need a…
      itsderek23 on HN
    • One of the things that has deterred me from SageMaker is how expensive it can be for a side project. Real-time endpoints start at $40-$50 per month, which would be a bit too much…
      dodata on HN
  • Kubeflow

    From 1 comment
  • AWS Lambda

    From 1 comment
    • Why would I use this over deploying the model to a lambda function aside from lack of GPU? (not trying to be confrontational, genuinely don't know) Won't lambda functions scale…
      cameronfraser on HN
  • Docker

    From 1 comment
    • Has anyone used Cortex in production? - Could you share your experiences? - why would one choose this over docker for instance?
      bobosha on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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