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BentoML

BentoML

Overview

What is BentoML?

BentoML is a framework designed to address the needs of building reliable, scalable, and cost-efficient AI applications, according to the vendor. It provides a standardized and user-friendly platform for packaging AI applications, allowing users to easily manage and deploy their AI apps. BentoML supports...

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Pricing

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What is BentoML?

BentoML is an open-source platform for application developers used to build, ship, and scale AI applications. It supports model serving, application packaging, and production deployment, and is free and open source under an Apache 2.0 license. And the BentoCloud version is a fully managed platform…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is BentoML?

BentoML is a framework designed to address the needs of building reliable, scalable, and cost-efficient AI applications, according to the vendor. It provides a standardized and user-friendly platform for packaging AI applications, allowing users to easily manage and deploy their AI apps. BentoML supports flexible model compatibility, enabling users to import models from any model hub or bring their own models built with popular frameworks like PyTorch, TensorFlow, Keras, Scikit-Learn, and XGBoost. The vendor states that BentoML simplifies the process of creating API servers for AI models by supporting auto-generation of REST API, gRPC, and long-running inference jobs. Additionally, BentoML automates the generation of Docker container images, making it effortless to deploy applications in any Docker-supported environment.

According to the vendor, BentoML adopts a Python-first approach, making it easy to scale complex AI workloads. Users can run and debug their BentoML apps locally on Mac, Windows, or Linux, ensuring a smooth development experience. The vendor claims that BentoML eliminates the complexities of GPU inference, allowing users to effortlessly take advantage of GPU acceleration for optimal performance. BentoML enables users to compose multiple models and run them concurrently or sequentially, leveraging multiple GPUs or a Kubernetes cluster, as per the vendor.

BentoML natively integrates with popular ML platforms such as MLFlow, LangChain, Kubeflow, Triton, Spark, and Ray, according to the vendor. This integration completes the production AI stack, providing a comprehensive solution for AI model deployment.

BentoML Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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