{"name":"Amazon Sagemaker Foundation Models","domain":"amazon.com","url":"https://optimly.ai/brand/amazon-sagemaker-foundation-models","is_claimed":false,"categories":["ai-machine-learning","cloud-infrastructure","developer-tools"],"headers":[{"header":"Overview","sections":[{"key":"short_description","label":"Tagline","shape":"text","content":"Offers enterprise-grade control over the infrastructure, networking, and data sovereignty used to run foundation models, integrated within a full MLOps pipeline.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://amazon.com","updated_at":"2026-10-04T00:03:22.108000+00:00"},{"key":"description","label":"Description","shape":"text","content":"Amazon SageMaker Foundation Models is a feature of AWS SageMaker that provides access to pre-trained, large-scale machine learning models through SageMaker JumpStart. It allows developers to deploy, fine-tune, and maintain models for tasks like text generation, image creation, and data summarization on managed AWS infrastructure. Unlike serverless API offerings, it provides users with full control over the underlying compute instances and networking environment.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://amazon.com","updated_at":"2026-10-04T00:03:22.108000+00:00"}]},{"header":"Offerings","sections":[{"key":"core_capabilities","label":"Core capabilities","shape":"text","content":"SageMaker JumpStart Model Hub\nManaged Fine-tuning\nNotebook Instances\nTraining Jobs\nInference Endpoints.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://amazon.com","updated_at":"2026-10-04T00:03:22.108000+00:00"},{"key":"pricing","label":"Pricing","shape":"text","content":"Usage-based (EC2 Instance hours, storage, and data transfer)","source_type":"1p_website","source_label":"Brand's website","source_url":"https://amazon.com","updated_at":"2026-10-04T00:03:22.108000+00:00"}]},{"header":"Audience","sections":[{"key":"target_industry","label":"Target industry","shape":"text","content":"Enterprise Data Science teams, Machine Learning Engineers, Cloud Architects in regulated industries.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://amazon.com","updated_at":"2026-10-04T00:03:22.108000+00:00"}]},{"header":"Landscape","sections":[{"key":"competitors","label":"Competitors","shape":"links","content":[{"url":null,"name":"Google Cloud Vertex AI"},{"url":null,"name":"Microsoft Azure AI Services"},{"url":null,"name":"Hugging Face"},{"url":null,"name":"Databricks Mosaic AI"}],"source_type":"1p_website","source_label":"Brand's website","source_url":"https://amazon.com","updated_at":"2026-10-04T00:03:22.108000+00:00"}]}],"last_refreshed_at":"2026-10-04T00:03:22.108000+00:00","last_changed_at":"2026-10-17T23:34:26.164126+00:00","claim_url":"https://app.optimly.ai/sign-up?claim=390a27b1-fe4f-4676-96ab-612a26d17a8e"}