Run open source language models locally with full privacy and no cloud dependencies
LM Studio is a desktop application that lets organizations run open source language models locally on laptops, servers, or edge devices. It allows teams to download, test, benchmark, and deploy models like Llama, Mistral, Gemma, Qwen, and Mixtral without sending any data to external providers.
Enterprises use LM Studio to experiment rapidly, validate open source models, and run private AI workloads without GPU clusters or cloud dependencies.
As enterprises explore open source AI, LM Studio provides a safe and powerful environment to evaluate and deploy small and medium models quickly.
All inference happens on your device or server so no customer data leaves your environment.
Teams can run advanced AI without provisioning GPUs or cloud environments.
Download, load, and test models in minutes, not weeks.
LM Studio uses quantized models and efficient runtimes to maximize speed on CPUs and consumer GPUs.
Ideal for industries with regulatory responsibilities: financial services • healthcare • retail • technology
LM Studio reduces risk by allowing teams to test everything privately before deploying at scale.
LM Studio makes open source model usage simple for enterprise developers and data teams.
Browse the built in model library or load your own.
Inference happens on your laptop or server.
LM Studio exposes a local API that behaves like OpenAI's API.
Integrate LM Studio with vector search, scripts, or local tools.
Compare latency, throughput, and accuracy across models.
Enterprises can explore multiple models quickly and select the best ones for production.
LM Studio is the fastest way to evaluate open source models with enterprise privacy.
LM Studio reduces cost and speeds up enterprise AI experimentation.
LM Studio is powerful, but enterprises need structured evaluation, integration, guardrails, and transition to production environments. Gyde provides the people, platform, and process to do this correctly.
A team focused entirely on your open source model evaluation.
Everything you need to take models from experimentation to production.
Your LM Studio workflow is structured and production aligned.
LM Studio becomes a key part of the enterprise AI experimentation toolkit.
Yes. It supports both CPU and GPU accelerated inference.
Yes. No data leaves your machine.
Yes. The local API can be used like any LLM endpoint.
It is ideal for prototyping. Production deployment usually moves to VPC or dedicated servers.
Yes. It specializes in GGUF and other optimized formats.
Start your AI transformation with production ready GPT OSS and LM Studio driven workflows delivered by Gyde.
Become AI Native