BentoML Alternatives
Similar projects and alternatives to BentoML
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BentoML reviews and mentions
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How to Build a Machine Learning Demo in 2022
Using a general-purpose framework such as FastAPI involves writing a lot of boilerplate code just to get your API endpoint up and running. If deploying a model for a demo is the only thing you are interested in and you do not mind losing some flexibility, you might want to use a specialized serving framework instead. One example is BentoML, which will allow you to get an optimized serving endpoint for your model up and running much faster and with less overhead than a generic web framework. Framework-specific serving solutions such as Tensorflow Serving and TorchServe typically offer optimized performance but can only be used to serve models trained using Tensorflow or PyTorch, respectively.
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MLH, Open Source, Mapillary & Me
BentoML - BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models.
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Why do so many people think Python is easier to productionize than R?
Also mlflow is not that optimized because it doesnt microbatch like torchserve/tfserving/bentoml. https://github.com/bentoml/BentoML/tree/master/benchmark
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Ask HN: Who is hiring? (April 2021)
BentoML.ai | ML Engineer, Backend Engineer | Full-time | Bay Area or Remote | Python, Kubernetes, MLOps platform, Data Infra, Tensorflow, PyTorch, etc
BentoML is an open-source framework for machine learning model serving & deployment https://github.com/bentoml/BentoML
We are a venture backed startup behind the BentoML open source project, and we are looking for engineers who are passionate about building Open Source, MLOps, ML Platform or developer tools. Email [ chaoyu at bentoml.ai] if you are interested.
Job descriptions: https://angel.co/company/bentoml
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
I've been using BentoML for deployment/serving and it saved my team and I a lot of time. Highly recommend. The only downside is that it's rather new and things are evolving quickly, so you have to keep an eye out for big/breaking changes.
Stats
bentoml/BentoML is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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