Amazon SageMaker is described as 'Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows' and is an app. There are more than 10 alternatives to Amazon SageMaker for a variety of platforms, including Web-based, SaaS, Self-Hosted, Amazon Web Services and Mac apps. The best Amazon SageMaker alternative is Jupyterlab, which is both free and Open Source. Other great apps like Amazon SageMaker are Vertex AI, Amazon Bedrock, Run:ai and Amazon Sagemaker Studio.
An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users.
Jupyterlab is the most popular Web-based, Windows, Mac & Linux alternative to Amazon SageMaker.
Jupyterlab is the most popular Open Source & free alternative to Amazon SageMaker.
Vertex AI is the most popular commercial alternative to Amazon SageMaker.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need...
Amazon Bedrock is the most popular SaaS alternative to Amazon SageMaker.
Transform your AI infrastructure with Run:ai to accelerate development, optimize resources, and lead the race in AI innovation.
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your...
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.
An automated AI platform, based on AutoML 2.0, for designing AI projects in a simpler and customizable way. Become agile, save yourself from staff and hardware worries, and skyrocket your business quickly.
NVIDIA NIM is a set of accelerated inference microservices that allow organizations to run AI models on NVIDIA GPUs anywhere.
Hugging Face Generative AI Services (HUGS) are optimized, zero-configuration inference microservices designed to simplify and accelerate the development of AI applications with open models. Built on open-source Hugging Face technologies such as Text Generation Inference or...
The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in data, train a model, and deploy to production automatically.
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