AWS Says SageMaker JumpStart Onboarded More Than 100 Models Across 30 Providers in Nine Months
From January through September 2026, SageMaker JumpStart onboarded more than 100 new models across 30 distinct providers — an expansion AWS attributes to the accelerating pace of open source model releases and to customer demand for choice across model architectures, sizes and capabilities.
NVIDIA is one of the catalog's significant providers, and AWS says its 2026 contribution went beyond language models: the Cosmos3 world foundation models, in Super, Edge and Nano tiers, put video generation, physics simulation and action planning into a single architecture aimed at physical AI applications such as robotics, autonomous systems and digital twins.
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The 30-provider spread is pitched as a way to reduce concentration risk for enterprise customers, and AWS notes it is up from a more concentrated set of providers in prior years. A bigger catalog means less dependence on one vendor's roadmap — though listing a model and supporting it in production are two different favours to ask of a platform team.
Breadth is the headline, but the cost tier may be the more useful addition: AWS says many customers are optimizing inference costs as they move to production, and it onboarded quantized and compact models, including GLM-5.2 FP8 with a reduced memory footprint. A hundred new listings matter far less if none of them fit the instance you already pay for.