

Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
Cost / License
- Freemium (Subscription)
- Proprietary
Platforms
- Software as a Service (SaaS)
- Amazon Web Services
Features
Tags
- Machine Learning
- ml-model
- machine-learning-platform
Amazon SageMaker News & Activities
Recent News
- Maoholguin published news article about Amazon Web Services
OpenAI's latest GPT-OSS free models are available on AWS for the first timeOpenAI's recently introduced open-weight model family, GPT-OSS, is now available on AWS for the fir...
- Fla published news article about Amazon Web Services
Meta's Llama 4 models now available on AWS SageMakerAmazon Web Services has announced that Meta's latest AI models, Llama 4 Scout 17B and Llama 4 Maver...
Recent activities
Danilo_Venom added Amazon SageMaker as alternative to Cloudflare Workers AI
POX added Amazon SageMaker as alternative to Hugging Face Generative AI Services and NetMind
POX added Amazon SageMaker as alternative to NVIDIA NIM and AWS Neuron
Teammately added Amazon SageMaker as alternative to Teammately
What is Amazon SageMaker?
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
Enable more people to innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts.
Access, label, and process large amounts of structured data (tabular data) and unstructured data (photo, video, geospatial, and audio) for ML.
Reduce training time from hours to minutes with optimized infrastructure. Boost team productivity up to 10 times with purpose-built tools.
Automate and standardize MLOps practices and governance across your organization to support transparency and auditability.



