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Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →For a beginner who wants a familiar desktop chat experience, LM Studio and Jan are the clearest starting points. LM Studio documents a step-by-step install, model-download, load, and chat flow; Jan’s quickstart says it downloads a default model on first launch. Choose between them based on your computer and the workflow you prefer. Open WebUI and Ollama can also be useful, but they serve different roles and may involve more setup than installing a standalone chat app.
What “local AI chat” means
A local chat app is the interface you use; the AI model is a separate download. You choose model files, download them, and load a model so it can use your computer’s memory and processing power. The app does not make every model equally fast or suitable: model size and other settings affect what your machine can run comfortably.
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“Local” describes where inference runs, not the model’s quality or license. LM Studio notes that models described as open-source or open-weight vary in how open they are and in their licenses. Check the license for the specific model you intend to use.
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Which app should a beginner choose?
| Option | What it is | Good fit if you want… |
|---|---|---|
| LM Studio | A desktop app. Its getting-started guide covers installing the app, finding and downloading a model, loading it, and chatting. | A guided desktop workflow for discovering and trying models. Check its current system requirements before choosing a model. |
| Jan | A desktop app for Mac, Windows, and Linux. Its quickstart says a default model downloads on first launch. It documents both local models and optional cloud providers. | A desktop chat app that gets you to an initial model quickly, with the option to use a cloud provider separately. |
| Open WebUI | A web interface hosted on your own infrastructure. It is a different setup category from a standalone desktop app. | A browser-based interface and a willingness to configure a self-hosted setup. |
| Ollama | A local model runner, rather than the same kind of all-in-one desktop chat app. Open WebUI documents native integration with it. | A local model runner, API, or backend to pair with a separate interface. |
The Open WebUI alternatives guide points users seeking a standalone desktop app toward LM Studio or Jan, and describes Ollama as a local model runner. These distinctions are more useful for choosing a first app than treating all four as interchangeable chat clients.
#1 Best Overall
- EVOLUTION AMD RYZEN AI MAX+ 395 MINI PC - GMKtec EVO-X2 is the next evolution in AI mini PC Ryzen Strix Halo series. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Ryzen AI Max+ 395 has 64 MB of L3 cache and can boost up to 5.1 GHz, depending on the workload. The Ryzen AI Max+ 395 is currently rated as the "most powerful x86 APU" on the market for AI computing.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 128GB pool, which is perfect for running LLMs such as Deepseek 70B Q8, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 12% better performance in digital content workloads.
- QUAD SCREEN 8K DISPLAY SUPPORT - EVO-X2 AI Mini PC support 4-screen 4K/8K output via HDMI 2.1 (8K@60Hz), DisplayPort 1.4 (4K@60Hz), and dual USB 4 40Gbps Transfer speed (supporting PD3.0/DP1.4/DATA). Ideal for gaming, video editing, and multitasking, it provides expansive and crisp multi-display support.
What the first setup involves
- Install the app. Choose a desktop app such as LM Studio or Jan and follow its current official installation instructions for your operating system.
- Select and download a model. The app and model are separate. The model files may take time and storage to download; Jan’s quickstart says it downloads a default model the first time the app launches.
- Load the model. Loading allocates computer memory for the model weights and other parameters. In LM Studio, the documented sequence proceeds from downloading a model to loading it and opening the Chat tab.
- Start a conversation and adjust expectations to the model and machine. If loading is slow or the model does not fit, try a smaller model or more modest context settings where the app allows it.
Check hardware before downloading a model
Hardware guidance is app-specific, not a universal minimum for running local AI. LM Studio’s undated requirements documentation, accessed in 2026, recommends 16GB or more of RAM for supported Apple Silicon Macs and Windows PCs. It also says an 8GB Mac may work with smaller models and modest context sizes. These are LM Studio recommendations, not guarantees for every model or app.
Jan likewise says local models use the computer’s RAM and processing power, and advises choosing a model that fits the system. Before settling on a model, check the current requirements for both the app and the model; a computer that can launch the app may still be a poor fit for a particular model or context size.
Rank #2
- Built for Local AI Development: AMD Ryzen AI Halo is designed for local AI development and inference, featuring 128GB unified memory and support for up to 200B parameter models to build and run intensive AI workloads locally.
- 128GB Unified Memory: Features 128GB LPDDR5x unified memory at 8000 MT/s with 256 GB/s memory bandwidth, providing a shared memory pool across the CPU, GPU, and NPU to support larger AI models.
- AMD Ryzen AI Max+ 395 Processor: Features 16 cores, 32 threads, and Zen 5 architecture, paired with AMD Radeon 8060S integrated graphics featuring 40 RDNA 3.5 compute units and an AMD XDNA 2 NPU with up to 50 TOPS.
- Linux AI Developer Platform: Purpose-built for Linux-based AI development with full AMD ROCm software support and preloaded tools, models, and workflows optimized for local AI development.
- Compact, Connected Design: Includes a 2TB M.2 SSD, 10GbE LAN, Wi-Fi 7, Bluetooth 5.4, USB-C connectivity, and HDMI 2.1b.
Local models and cloud models are different modes
Jan’s quickstart describes local models as running on the computer and working offline without an API key. It also documents cloud models, which run on provider servers and require a key. Those are distinct operating modes: if keeping a conversation local matters to you, verify which model or provider is selected and check the app’s settings. The local-model description is not a blanket promise that every app feature or configuration works offline.
Quick Recap
Rank #4
- 【Leading AI Mini Workstation】MINISFORUM AI MS-S1 Max Workstation comes with AMD Ryzen AI Max+ 395 processor, which uses AMD's latest generation Zen 5 architecture. It has 16 Cores and 32 Threads, the boost clock is up to 5.1GHz. The overall processor performance is up to 126 TOPS, and the NPU performance reaches up to 50 TOPS. AMD Ryzen AI enables improved productivity, advanced collaboration, and improved efficiency.
- 【AMD Radeon 8060S Graphics 】The MS-S1 Max Mini PC equipped with AMD Radeon 8060S Graphics which built on the new generation of RDNA 3.5 architecture AMD graphics, it brings ultra-high frame rate experiences and advanced content creation features anywhere and delivers staggering performance. It can handle all your computing and multimedia tasks efficiently.
- 【Five 8K Video Output】This MS-S1 Max Workstation comes with five video outputs, 1x HDMI (8K@60Hz), 2x USB4(40Gbps,Alt DP2.0,PD out 15W) and 2x USB4 V2(80Gbps,Alt DP2.0,PD out 15W) Outputs, which support multiple monitors display at the same time and provide a larger and wider filed of view and improve your work efficiency. It is used in fields that require high-performance computing and graphics processing, including digital signage and securities trading, as well as work that uses CAD, such as engineering design, scientific calculations, animation production, and post-production for movies and television
- 【 Fast and Stable Wire & Wireless Speed】It comes with Two 10G Lan Ports for wired connection and and Wi-Fi 7 / BT5.4 for wireless connection, which increased the network speed greatly and expand its functions and improved performance of computer to a large extent and allows you to use more networks such as software routers (OpenWRT / DD-WRT / Tomato etc.), firewalls, NAT, network isolation etc.
- 【Large Storage & Flexible Expandability】This Workstation equipped with 64GB LPDDR5-8000MHz + 2TB M.2 2280 PCIe4.0 SSD. There is another PCIe4.0 SSD slot available for up to 8TB, these SSD slots are compatible with RAID0 and RAID1, you can store movies, videos, photos, important files easily. What’s more, it also comes with 1x standard PCIex16 slot(PCIe4.0x4) inside.
Rank #3
- EVOLUTION AMD RYZEN AI MAX+ 395 MINI PC - GMKtec EVO-X2 is the next evolution in AI mini PC Ryzen Strix Halo series. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Ryzen AI Max+ 395 has 64 MB of L3 cache and can boost up to 5.1 GHz, depending on the workload. The Ryzen AI Max+ 395 is currently rated as the "most powerful x86 APU" on the market for AI computing.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 64GB pool, which is perfect for running LLMs such as Deepseek 32B, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 4% better performance in digital content workloads.
- QUAD SCREEN 8K DISPLAY SUPPORT - EVO-X2 AI Mini PC support 4-screen 4K/8K output via HDMI 2.1 (8K@60Hz), DisplayPort 1.4 (4K@60Hz), and dual USB 4 40Gbps Transfer speed (supporting PD3.0/DP1.4/DATA). Ideal for gaming, video editing, and multitasking, it provides expansive and crisp multi-display support.
A simple decision path
- Want the most straightforward desktop path? Start by comparing LM Studio’s documented setup steps with Jan’s first-launch flow, then check their current OS and hardware guidance.
- Want to use a browser interface hosted on your own infrastructure? Consider Open WebUI, recognizing that this is a self-hosted setup rather than a single desktop chat app.
- Want a runner or API, or a backend for another interface? Consider Ollama rather than expecting it to be the same product category as LM Studio or Jan.
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