Amazon SageMaker JumpStart: 2026 year-to-date in review | Amazon Web Services
Amazon SageMaker JumpStart is a machine learning (ML) hub within Amazon SageMaker AI that provides access to a curated catalog of AI models, solution templates, and example notebooks. It reduces the time it takes to go from model selection to deployment. You can use it to evaluate open source large language models (LLMs), deploy a vision model for document understanding, or fine-tune a compact model on your own data.
SageMaker JumpStart serves three primary use cases:
- Model discovery and evaluation — Browse hundreds of foundation models (FMs) from providers like Alibaba (Qwen), NVIDIA, Google, Mistral, Cohere, IBM, and more. Each model card includes architecture details, benchmarks, licensing information, and sample notebooks.
- One-click deployment — Deploy your choice of model to a SageMaker real-time inference endpoint with pre-configured settings optimized for your workload (low cost, low latency, throughput, or balanced). No manual container or instance configuration required.
- Model customization — Fine-tune...
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