NeuralMagic
Neural Magic was an AI software company that spun out of MIT in 2018 to build high-performance deep learning inference software. Its flagship open-source products were DeepSparse, a sparsity-aware inference runtime delivering GPU-class performance on commodity CPUs, together with SparseML, SparseZoo, and Sparsify for model compression, sparsification recipes, and a curated model repository, plus nm-vllm, an enterprise LLM inference server for GPUs. Neural Magic was a prolific contributor to the community vLLM project. The company was acquired by Red Hat (agreement announced November 2024, completed January 2025) and its engineering now advances vLLM and Red Hat AI. The community versions of DeepSparse, SparseML, SparseZoo, and Sparsify were deprecated on 2026-06-02. Neural Magic exposed no commercial REST API; its developer surface was a set of first-party Python libraries published to PyPI and open source on GitHub.
NeuralMagic is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Inference, and LLM.
NeuralMagic’s developer surface includes documentation and 6 more developer resources.
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| DigitalOcean Marketplace (partner 1-click apps and SaaS add-ons) | undeclared | - | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Resources
Documentation 1
Reference material describing how the API behaves
Build 4
SDKs, sample code, and the tooling you integrate with
Operate 2
Status, limits, changes, and where to get help
Source (apis.yml)
Work with this as data
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