Alternatives
Self-hosted alternatives to Amazon SageMaker AI
Projects in the registry that can run on your own hardware and serve at least one of the same use cases as Amazon SageMaker AI.
- Source
- Registry relations over fetched repository records — the evidence sits on each repository page
- Verified
- Evidence not verified
- Confidence
- High
01How this list was built
- Compared against
- Amazon SageMaker AI
- Delivery
- Cloud platforms
- Shared use cases
- Choosing a cloud platform, Private LLM, Local LLM, Prediction from operational data, Choosing a model
- Selection rule
- open source, or self-hostable, and shares a use case
- Candidates found
- 13
02Alternatives
AnythingLLM
Hybrid — hosted or self-hosted
Desktop and server application that turns a document set into a chat workspace, with per-workspace embeddings, multiple model back ends and a built-in vector store.
- Repository
- Mintplex-Labs/anything-llm
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm
Continue
Hybrid — hosted or self-hosted
Open-source IDE extension for VS Code and JetBrains that connects completion and chat to any model back end, including a local server, under a checked-in configuration file.
- Repository
- continuedev/continue
- Stars
- 35,622
- Licence
- Apache-2.0
- In stacks
- 1
Shares: Local llm
Jan
Hybrid — hosted or self-hosted
Open-source desktop assistant that runs open-weight models locally and can also call remote endpoints. The open alternative to LM Studio for a single-machine deployment.
- Repository
- janhq/jan
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm · Private llm
LibreChat
Self-hosted projects
Self-hosted multi-model chat application with authentication, per-conversation model switching, plugins, file upload and an admin configuration file. Familiar interface for staff moving off consumer tools.
- Repository
- danny-avila/LibreChat
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Private llm
LiteLLM
Cloud platforms
Gateway that presents one OpenAI-compatible API in front of many providers and local servers, with per-team keys, budgets, rate limits, fallbacks and request logging.
- Repository
- BerriAI/litellm
- Stars
- 57,216
- Licence
- Other
- In stacks
- 3
Shares: Private llm · Local llm
llama.cpp
Libraries
C++ inference engine for quantised models on CPU, Apple Silicon and GPUs, with a bundled HTTP server. The engine underneath many desktop runtimes and the GGUF quantisation format.
- Repository
- ggml-org/llama.cpp
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm · Private llm
LMDeploy
Model servers
Serving toolkit from the InternLM team with its own inference engine and quantisation tooling, and strong coverage of Chinese open-weight model families.
- Repository
- InternLM/lmdeploy
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm · Private llm
LM Studio
Hybrid — hosted or self-hosted
Desktop application for downloading and running open-weight models locally, with a chat interface and a local OpenAI-compatible server. Windows, macOS and Linux.
- Repository
- none linked
- Stars
- —
- Licence
- unknown
- In stacks
- 1
Shares: Local llm · Private llm
LocalAI
Model servers
Drop-in OpenAI-compatible API server that runs text, embedding, image and audio models locally across several back ends, including CPU-only deployments.
- Repository
- mudler/LocalAI
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm · Private llm
MLflow
Cloud platforms
Experiment tracking, a model registry and deployment packaging. The component that lets a prediction be traced back to the model version and data that produced it.
- Repository
- mlflow/mlflow
- Stars
- —
- Licence
- unknown
- In stacks
- 1
Shares: Predictive analytics · Model selection
NVIDIA NIM
Model servers
Prebuilt inference containers with an OpenAI-compatible API, deployable into your own cluster including air-gapped sites. Licensed through NVIDIA AI Enterprise rather than open source.
- Repository
- none linked
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm · Private llm
NVIDIA TensorRT-LLM
Libraries
Compiles models into optimised engines for NVIDIA GPUs. The build step is the trade: peak throughput on a fixed configuration, in exchange for recompiling when it changes.
- Repository
- nvidia/tensorrt-llm
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm · Private llm
Ollama
Model servers
Local model runtime with a one-command install, a model library and an OpenAI-compatible API. The usual starting point for running open-weight models on a workstation or small server.
- Repository
- ollama/ollama
- Stars
- 179,403
- Licence
- MIT
- In stacks
- 4
Shares: Local llm · Private llm
03Repository facts
| Repository | Stars | Health |
|---|---|---|
| Mintplex-Labs/anything-llm | — | Health not measuredunknown |
| continuedev/continueopen-source coding agent | 36k | Maintenance 100%, Releases 60%, Contributors 50%, Issues 74%, Community 91%80 |
| janhq/jan | — | Health not measuredunknown |
| danny-avila/LibreChat | — | Health not measuredunknown |
| BerriAI/litellmThe fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM] | 57k | Maintenance 100%, Releases 100%, Contributors 50%, Issues 14%, Community 95%83 |
| ggml-org/llama.cpp | — | Health not measuredunknown |
| InternLM/lmdeploy | — | Health not measuredunknown |
| mudler/LocalAI | — | Health not measuredunknown |
| mlflow/mlflow | — | Health not measuredunknown |
| nvidia/tensorrt-llm | — | Health not measuredunknown |
| ollama/ollamaGet up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | 179k | Maintenance 100%, Releases 80%, Contributors 50%, Issues 79%, Community 100%86 |
04Ask about your own case
Which alternative is right depends on how many people will use it, what the data is and what you can operate. Ask and the answer is researched for your organisation.