{
  "id": 15656192,
  "title": "Amazon SageMaker JumpStart: 2026 year-to-date in review",
  "url": "https://urgent.news/2026/10/19/amazon-sagemaker-jumpstart-2026-year-to-date-in-review",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-19T21:14:44.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-jumpstart-2026-year-to-date-in-review/"
  },
  "original_language": "en",
  "account": "Amazon SageMaker JumpStart, a machine learning (ML) hub within Amazon SageMaker AI, made notable progress in 2026. The platform serves as a curated catalog of AI models, solution templates, and example notebooks, simplifying the transition from model selection to deployment. It enables users to evaluate open source large language models (LLMs), deploy vision models for document understanding, and fine-tune compact models on their own data.\n\nIn terms of onboarding new models, SageMaker JumpStart welcomed over 100 new models across 30 distinct providers from January to September 2026. This expansion was driven by the rapid release of open source models and the increasing customer demand for diverse model architectures, sizes, and capabilities. The leading contributors to this growth included Alibaba (Qwen) with 29 models, NVIDIA with 17 models, Mistral with 7 models, Google with 6 models, IBM with 4 models, and Cohere with 4 models. Additionally, 33 models were onboarded from other providers such as MiniMax, Zhipu AI, DeepSeek, Moonshot AI, Allen AI, Microsoft, Meta, Reflection, Black Forest Labs, JetBrains, OpenBMB, Kakao, OpenFold, and more.\n\nSome of the notable model onboarding highlights include NVIDIA's Cosmos3 world foundation model family (Super, Edge, Nano), which brings video generation, physics simulation, and action planning to physical AI applications, and NVIDIA Nemotron models spanning from efficient edge inference (Nano-12B) to large-scale reasoning (Super-120B). Google's Gemma 4 variants add vision-language capabilities, while IBM's Granite 4.0 h-micro/small/tiny and Granite-speech-4.1-2b models support multilingual automatic speech recognition.",
  "summary": "Amazon SageMaker JumpStart onboarded over 100 new models from 30 providers in the first three quarters of 2026. This recap covers the model-onboarding highlights and JumpStart enhancements, including the simplified Model Hub, pre-configured deployment options, and Hugging Face deep link integration.",
  "key_points": [
    "Amazon SageMaker JumpStart launched 2026 with over 100 new models from 30 providers.",
    "Notable model onboarding highlights include NVIDIA's Cosmos3 and Google's Gemma 4.",
    "SageMaker JumpStart facilitates transition from model selection to deployment."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}