Generative AI platforms & models
Amazon SageMaker JumpStart / Amazon Bedrock Marketplace vs Microsoft Foundry Models (incl. Azure OpenAI) / Azure Machine Learning
SageMaker JumpStart and Bedrock Marketplace map to the Microsoft Foundry model catalog's managed-compute deployments (and the Azure Machine Learning model catalog).
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon SageMaker JumpStart Amazon Bedrock Marketplace | Microsoft Foundry Models (incl. Azure OpenAI) Azure Machine Learning |
| Lifecycle | Generally available Generally available | Generally available Generally available |
| What it is | Hub of pretrained and open-weight models plus solution templates, deployed and fine-tuned on SageMaker infrastructure. Supports private and curated hubs. Discover and deploy additional third-party and specialized models onto managed endpoints, used through Bedrock APIs. | Catalog of 10,000+ models. "Sold by Azure" (Azure OpenAI GPT family, Microsoft MAI/Phi, xAI Grok, DeepSeek, Meta, Mistral, Cohere, Black Forest Labs, Moonshot) plus partner/community models (Anthropic Claude, Hugging Face, and more). Deploy serverless (per-token) or on managed compute. End-to-end ML platform. Workspaces, data and compute, training jobs, AutoML, pipelines, registries, endpoints, MLflow integration, and responsible AI tooling. |
| Pricing model | SageMaker instance-hours for the endpoint (plus any model-provider software fee for Marketplace models). | VM core-hours for managed compute deployments (plus any provider fee shown in the catalog). |
| Docs | Amazon SageMaker JumpStart docs Amazon Bedrock Marketplace docs | Microsoft Foundry Models (incl. Azure OpenAI) docs Azure Machine Learning docs |
| Pricing page | Amazon SageMaker JumpStart pricing Amazon Bedrock Marketplace pricing | Microsoft Foundry Models (incl. Azure OpenAI) pricing Azure Machine Learning pricing |
| Exams | MLA-C01 Retiring Generative AI Developer – Professional | AI-103 AI-300 |
Key differences
- Foundry advertises 10,000+ catalog models (including Hugging Face) and states that partner/community models are the large majority. Hugging Face managed-compute deployments currently use hub-based projects in the Foundry (classic) portal.
- JumpStart supports private and curated hubs for governing which models teams may use. Bedrock Marketplace models are called through Bedrock APIs, so Guardrails, Knowledge Bases, and Agents integrate with them.
- Billing is per instance/VM-hour on both sides when you deploy to dedicated compute.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- SageMaker instance-hours for the endpoint (plus any model-provider software fee for Marketplace models). Amazon SageMaker JumpStart pricing → Amazon Bedrock Marketplace pricing →
- Azure
- VM core-hours for managed compute deployments (plus any provider fee shown in the catalog). Microsoft Foundry Models (incl. Azure OpenAI) pricing → Azure Machine Learning pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Machine Learning Engineer – Associate MLA-C01 | AWS | Associate | retiring Being updated to MLA-C02 (beta registration opened Sep 1, 2026). Last day for MLA-C01 in English was Sep 28, 2026; Korean, Japanese, and Simplified Chinese remain until MLA-C02 GA. |
| AWS Certified Generative AI Developer – Professional | AWS | Professional | current Exam code not confirmed from the official page at build time; shown by name only. |
| Microsoft Certified – Azure AI Apps and Agents Developer Associate AI-103 | Azure | Associate | current Generative AI and agentic solutions with Microsoft Foundry using Python. Successor in scope to the retired AI-102. |
| Microsoft Certified – Machine Learning Operations Engineer Associate AI-300 | Azure | Associate | current MLOps and GenAIOps infrastructure on Azure (IaC with Bicep/CLI, GitHub Actions). Closest successor in scope to the retired DP-100. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon SageMaker JumpStart and Amazon Bedrock Marketplace?
SageMaker JumpStart and Bedrock Marketplace map to the Microsoft Foundry model catalog's managed-compute deployments (and the Azure Machine Learning model catalog).
How does pricing compare between Amazon SageMaker JumpStart and Amazon Bedrock Marketplace and Microsoft Foundry Models (incl. Azure OpenAI) and Azure Machine Learning?
AWS: SageMaker instance-hours for the endpoint (plus any model-provider software fee for Marketplace models). Azure: VM core-hours for managed compute deployments (plus any provider fee shown in the catalog). Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Machine Learning Engineer – Associate (MLA-C01) [retiring]; AWS Certified Generative AI Developer – Professional; Microsoft Certified – Azure AI Apps and Agents Developer Associate (AI-103); Microsoft Certified – Machine Learning Operations Engineer Associate (AI-300).
Where do I deploy a Hugging Face model on Azure?
Deploy it from the Foundry model catalog to managed compute (hub-based project in Foundry classic), or through Azure Machine Learning.