BentoML vs. TensorFlow Comparison


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About Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.	About An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies, professionals and developers in search of a solution to simplify model deployment	Audience Organizations interested in a powerful open source machine learning platform
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started. Cons Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information BentoML United States www.bentoml.com	Company Information TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives Domino Enterprise AI Platform Domino Data Lab	Alternatives Gemini Enterprise Agent Platform Google
NVIDIA Triton Inference Server NVIDIA	Amazon Rekognition Amazon
Azure Machine Learning Microsoft	Amazon SageMaker Amazon
Huawei Cloud ModelArts Huawei Cloud	Azure Machine Learning Microsoft
Amazon SageMaker Amazon View All	Kubeflow View All
Categories AI Development Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported Quantum Computing Supported
	Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Not Supported Statistical / Mathematical Tools Supported Templates Not Supported Visualization Supported
Integrations Keras Supported ZenML Supported Akira AI Not Supported Amazon EC2 Inf1 Instances Not Supported Clore.ai Not Supported Databricks Not Supported E2E Cloud Not Supported Gemini Enterprise Agent Platform Not Supported Horovod Not Supported IBM Watson Studio Not Supported NVIDIA DeepStream SDK Not Supported NVIDIA Triton Inference Server Not Supported PostgresML Not Supported RagaAI Not Supported Superwise Not Supported TensorWave Not Supported ZETIC.ai Not Supported neptune.ai Not Supported skillsync Not Supported Show More Integrations View All 23 Integrations	Integrations Keras Supported ZenML Supported Akira AI Supported Amazon EC2 Inf1 Instances Supported Clore.ai Supported Databricks Supported E2E Cloud Supported Gemini Enterprise Agent Platform Supported Horovod Supported IBM Watson Studio Supported NVIDIA DeepStream SDK Supported NVIDIA Triton Inference Server Supported PostgresML Supported RagaAI Supported Superwise Supported TensorWave Supported ZETIC.ai Supported neptune.ai Supported skillsync Supported Show More Integrations View All 193 Integrations
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