cortex

Run inference at scale (by cortexlabs)
Go

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NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better alternative or higher similarity.

Posts

Posts where cortex has been mentioned. We have used some of these posts to build our list of alternatives and similar projects - the last one was on 2021-01-06.
  • [P] Cortex 0.26: Beta support for GCP, micro-batching, and more
    Take this config https://github.com/cortexlabs/cortex/blob/master/test/apis/onnx/iris-classifier/cortex.yaml#L7 for instance. path: s3://cortex-examples/tensorflow/iris-classifier/nn/ could become path: gs://cortex-examples/tensorflow/iris-classifier/nn/.
  • Cortex 0.26: Machine learning inference at scale
    news.ycombinator.com | 2021-01-11
  • Cortex 0.26: Serverless machine learning inference
    news.ycombinator.com | 2021-01-07
  • Deep-learning text-to-speech tool for generating voices of various characters
    news.ycombinator.com | 2021-01-06
    The price of GPU inference can be brutal, but there's a lot you can do on the infra side to improve it:

    - Spot instances

    - Aggressive autoscaling

    - Micro batching

    Can reduce inference compute spend by huge amounts (90% is not uncommon). ML, especially anything involving realtime inference, is an area where effective platform engineering makes a ridiculous difference even in the earliest days.

    Source: I help maintain open source ML infra for GPU inference and think about compute spend way too much https://github.com/cortexlabs/cortex

  • Cortex: An open source alternative to AWS SageMaker endpoints
    news.ycombinator.com | 2021-01-05
  • If your team does ML, what is your "MLOps" stack?
    reddit.com/r/devops | 2021-01-04
    We currently use Cortex for deployment/serving (we're on AWS), and are pretty happy with it. We tried Kubeflow, but could never get it working effectively. It sounds like a good idea, just too unwieldy. We're also currently looking at some monitoring vendors (Mona Labs, in particular), but things are still early.
  • Cortex: Run inference at scale (with native support for TensorFlow)
  • Cortex: A serverless compute engine for MLOps
    news.ycombinator.com | 2021-01-04
  • [D] Serverless for production ML
    If you're able to, I'd suggest something like Cortex to handle all the K8 stuff. It sets up autoscaling and monitoring for you. Or if you don't need horizontal scaling, any Docker solution is fine.
  • Cortex: Serverless MLOps
    news.ycombinator.com | 2020-12-30
  • Cortex: Serverless Inference for MLOps Teams
    news.ycombinator.com | 2020-12-29
  • Cortex: A serverless compute engine for machine learning
    news.ycombinator.com | 2020-12-28
  • Cortex – An open source inference cluster for production-scale machine learning
    news.ycombinator.com | 2020-12-22
  • Gopher Gold #20 - Wed Nov 18 2020
    dev.to | 2020-11-17
    cortexlabs/cortex (Go): Deploy machine learning models to production

Stats

Basic cortex repo stats
12
7,249
9.5
1 day ago

cortexlabs/cortex is an open source project licensed under Apache License 2.0 which is an OSI approved license.