AWS SageMaker
https://aws.amazon.com/sagemaker/
AWS's managed ML platform — Studio, Training, HyperPod (large-scale clusters), Endpoints. Industry-standard for enterprise AWS-hosted training.
Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 17 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- AWS ML platform vendor fix
- Tier
- T1
- Section
- Training infrastructure
- Latest release
- v3.27.0 (2026-10-21) — sagemaker registry fix
- License
- proprietary; Python SDK Apache-2.0 repo fix
- Pricing
- Pay-as-you-go by instance type and duration, no minimum fees; free tier for new users; savings plans for commitments vendor fix
- Funding
- searched not found fix
- Freshness
- 2026-10-27 fix
- Layer
- model-infra repo fix
- Licensing
- commercial repo fix
- Developer activity
- OpenRank 17.7 (12-mo avg 11.18) · 47 participants — 2026-09 third-party fix
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
Standard AWS ML offering; HyperPod 2024 supports 1000+ GPU training clusters.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Managed-only — AWS
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Compare AWS SageMaker with…
Similar systems
Other training infrastructure in the catalog, ranked by inbound references.
- MLflow T1
Databricks-incubated open platform for ML lifecycle — tracking, projects, models, model registry. Standard ML-ops baseline. MLflow 3.0 (2024) added LLM-eval features.
- Weights & Biases T1
Experiment-tracking and ML-ops platform (metrics, artifacts, sweeps, Weave tracing/evals). Acquired by CoreWeave (completed 2025-05-05, ~$1.7B); now part of CoreWeave Forge.
- Comet ML T2
ML experiment tracking + LLM evaluation platform (Opik for LLM eval). Comet competes head-to-head with Weights & Biases.
- Azure Machine Learning T1
Microsoft Azure's managed ML platform — pipelines, AutoML, Designer, prompt flow (LLM). Heavy integration with Azure OpenAI and Azure AI Studio.
- LoRA T3
Microsoft Research's Low-Rank Adapters method — trains rank-r matrices added to attention weights; 10000x parameter reduction. Foundation of all adapter-style fine-tuning.
- Argilla T2
Open-source data-quality platform for LLM training data — human-in-the-loop labelling, RLHF data collection, dataset curation. Acquired by Hugging Face 2024.
Sources (16 cited facts, 1 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is AWS ML platform vendor
- What it does & what's distinct AWS's managed ML platform — Studio, Training, HyperPod (large-scale clusters), Endpoints… vendor
- Claims / benefits Standard AWS ML offering; HyperPod 2024 supports 1000+ GPU training clusters. vendor
- Created 2017 vendor
- Latest release v3.27.0 (2026-10-21) — sagemaker registry
- License proprietary; Python SDK Apache-2.0 repo
- GitHub aws/sagemaker-python-sdk — ~2.3k stars, last commit 2026-10 repo
- Customers / scale Major SageMaker customers: Intuit, Capital One, Roche, Tata Steel, Vanguard, AT&T, NFL, … vendor
- Pricing Pay-as-you-go by instance type and duration, no minimum fees; free tier for new users; s… vendor
- Deployment Managed-only — AWS vendor
- HQ US (AWS) vendor
- architecture-deployment-locus cloud vendor
- licensing-bucket commercial repo
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":152.09,"as_of":"2026-09","openrank_12mo":11.18,"openrank_current":17.7,"part… third-party
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-27
- License first recorded as “proprietary; Python SDK Apache-2.0” source
- Latest release first recorded as “v3.27.0 (2026-10-21) — sagemaker” source
- Pricing first recorded as “Pay-as-you-go by instance type and duration, no minimum fees; free tier for new users; savings plans for commitments” source
- Deployment first recorded as “Managed-only — AWS” source
Related systems
Referenced by (13)
- Cohere Command R+ / Command A integrates with — Cohere docs: "An Amazon SageMaker Setup Guide" for Cohere models. (verified 2026-10-29)
- CrewAI integrates with — CrewAI LLM docs include an Amazon SageMaker provider configuration section. (verified 2026-10-29)
- Haystack (framework) integrates with — Haystack integrations directory has an Amazon Sagemaker integration page ("Use Models from Huggingface, Anthropic, AI21 Labs, Cohere, Meta, and Amazon via Amazon Sagemaker with Haystack"). (verified 2026-10-29)
- Inspect AI integrates with — Inspect AI model-providers page documents a AWS SageMaker provider. (verified 2026-10-29)
- Kong AI Gateway integrates with — Kong AI Gateway docs have a SageMaker AI-provider reference page. (verified 2026-10-29)
- LangChain (framework) integrates with — LangChain docs have a SageMaker endpoint LLM integration page. (verified 2026-10-29)
- LiteLLM integrates with — LiteLLM docs have an AWS SageMaker provider page. (verified 2026-10-29)
- LlamaIndex (framework) integrates with — LlamaIndex has an official LLM integration package llama-index-llms-sagemaker-endpoint in its repo. (verified 2026-10-29)
- OpenLLMetry (Traceloop) integrates with — OpenLLMetry's What's Supported page lists AWS SageMaker as instrumented out of the box. (verified 2026-10-29)
- Pinecone integrates with — Pinecone's integrations directory has a AWS SageMaker integration page. (verified 2026-10-29)
- Portkey AI integrates with — Portkey docs have an AWS SageMaker LLM provider integration page. (verified 2026-10-29)
- Strands Agents (AWS) integrates with — Strands Agents docs have an Amazon SageMaker model provider page. (verified 2026-10-29)
- TrueFoundry AI Gateway integrates with — TrueFoundry AI Gateway docs have a AWS SageMaker model-provider page. (verified 2026-10-29)