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Experience seamless local LLM hosting with LM Studio. Discover fast, reliable hosting solutions tailored for your AI needs. Get started now!
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B2BHOSTINGCLUB enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
B2BHOSTINGCLUB’s LM Studio Hosting is pre-configured with everything you need to run open-source large language models (LLMs) using LM Studio. No complex installations, no driver issues.
We offer powerful GPUs like RTX 4090, A5000, A6000, and A100, perfect for running 7B, 13B, and even 70B models. Our servers are designed for AI workloads, with high VRAM and fast NVMe storage.
With full administrator access, you will be able to take full control of your dedicated GPU servers for LM Studio environment very easily and quickly, anytime, anywhere.
With enterprise-class data centers and 24/7/365 expert support, we provide a 99.9% uptime guarantee for LM Studio hosting service.
Pay by the month, quarter, or year — with no long-term contracts. First-time users can apply for a free trial to test performance before committing.
Your models and prompts stay private. Unlike cloud APIs, our hosting is fully isolated, making it ideal for confidential research or product development.
ere's a detailed comparison of LM Studio, Ollama, and vLLM, covering their target use cases, strengths, weaknesses, and technical capabilities—so you can choose the right tool for your LLM deployment needs.
|
Feature
|
LM Studio
|
Ollama
|
vLLM
|
|---|---|---|---|
| Target Audience | Beginners, desktop users | Developers, CLI users | Backend engineers, production services |
| Interface | Graphical UI (GUI) | Command Line Interface (CLI) | No UI, API backend |
| Ease of Use | ⭐⭐⭐⭐⭐ Easy | ⭐⭐⭐ Easy | ⭐ Complex |
| Installation | Prebuilt installers (.exe, .AppImage) | Simple CLI setup (brew install, .deb) | Requires Python + manual setup |
| Model Format | GGUF (llama.cpp compatible) | Ollama format (based on GGUF) | Hugging Face Transformers (original weights) |
| GPU Support | Yes (via llama.cpp, exllama) | Yes (auto-detect, optional) | Yes (required for performance) |
| Multi-GPU Support | ❌ Not supported natively | ❌ Not supported | ✅ Partial (via model parallelism) |
| API Support | ❌ No API | ✅ OpenAI-compatible API | ✅ High-performance OpenAI-compatible API |
| Chat Interface | ✅ Built-in | ❌ CLI only | ❌ None, must build your own frontend |
| Performance | Good (GPU optimized) | Good (memory mapping) | Excellent (PagedAttention, IO-efficient) |
| Model Management | GUI-based multiple models | Quick model switching | High-scale model hosting |
| Best Use Cases | Personal desktop AI, Prompt testing | Lightweight local API, plugins | Production-grade inference, SaaS backend |
| System Support | Windows, macOS, Linux | Windows, macOS, Linux | Linux (preferred), supports Docker |
| Concurrency | Limited (1 model per instance) | Limited | ✅ Optimized for high throughput & batch requests |
Deploy vLLM on bare-metal server with a dedicated GPU Server in minutes.
Place Your Order → Choose your preferred GPU configuration and complete payment.
Receive Access Details → We’ll send you remote login instructions via email.
Log in the GPU Server, Downlod and Install LM Studio.
Upload Your Model or Download from HuggingFace, Chat with the Model Instantly!
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