LMStudio
ATH Infosystems · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on Microsoft Marketplace.
LM Studio is a local AI and large language model platform that enables users to download, run, manage, and serve AI models on their own systems. It provides a self-hosted environment for running compatible language and embedding models without requiring applications to send inference requests to external AI services.
The solution supports common AI inference and model-serving workflows including downloading and managing models, loading models for inference, running embedding models, and exposing an OpenAI-compatible HTTP API for integration with applications, websites, automation platforms, RAG systems, and other AI-powered services. LM Studio is suitable for developers, AI engineers, system administrators, researchers, and organizations that require local or self-hosted AI inference capabilities.
Show the rest of the publisher’s description (21 more lines)
Features of LM Studio:
- Self-hosted platform for running compatible AI and language models locally.
- Supports local LLM and embedding model inference.
- Provides model management and model loading capabilities.
- Includes the lms command-line interface for server and model management.
- Provides an OpenAI-compatible HTTP API for application integration.
- Supports local model serving through the LM Studio server.
- Suitable for RAG, semantic search, chat applications, and AI automation workflows.
- Allows applications to communicate with locally hosted models through HTTP API requests.
- Can operate in headless/server environments using llmster.
- Provides control over local model execution, infrastructure, and data handling.
Usage instructions:
Start LM Studio / llmster
$ sudo su
$ source /root/.bashrc
#Check LM Studio CLI version: $ /root/.lmstudio/llmster/0.0.21-2/llmster --version
#Start the LM Studio daemon: $ $lms daemon up
#Start the OpenAI-compatible API server: $ lms server start --bind 0.0.0.0 --port 1234
#Check server status: $ lms server status
To access the API: http://YOUR_SERVER_IP:1234/v1/models
Disclaimer: LM Studio is provided under its applicable license and usage terms. Model availability, performance, hardware requirements, and supported capabilities depend on the selected model, quantization, CPU/GPU hardware, available memory, and LM Studio compatibility. Users are responsible for securely configuring network access, authentication, firewall rules, API exposure, model licensing, and data handling. Exposing the LM Studio API directly to a public IP without appropriate security controls may allow unauthorized users to consume system resources or access the service. This solution is suitable for self-hosted AI inference, local LLM experimentation, RAG applications, AI development, automation, and OpenAI-compatible API integrations.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Reconciled on 9/3/2026
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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