Yes, but only if the model and the application handle your prompts locally and no connected feature sends them elsewhere. Running inference on your own device can avoid sending prompts to a remote model provider. It does not guarantee that an app will make no network requests, that your conversation is not saved on the device, or that other people cannot reach a local server.
What “local” does—and does not—mean
Local inference means the model’s computation happens on your device rather than on a provider’s remote servers. That can keep prompts out of the inference provider’s hands, but the privacy outcome depends on the complete application and data path: where you type, which process runs the model, what the app retains, and whether tools or connected services receive the content.
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Local storage is different from provider-side retention, but it is still storage. Conversation history, prompt caches, logs, crash reports, and backups may contain sensitive information. The llama.cpp server documentation, for example, describes prompt caching that can reuse a previous prompt prefix for a later request; it does not establish a universal logging policy for frontends or other consumer applications. llama.cpp server documentation
Where privacy can break down
Connected app features
An app may combine local inference with features such as cloud fallback, account synchronization, telemetry, crash reporting, or online update checks. The fact that a model runs locally does not establish whether those features are enabled. Check the specific app’s current privacy documentation and settings; behaviors vary by application.
#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.
Network-accessible local servers
A server running on your computer is not necessarily accessible only to you. Its network binding and deployment configuration determine who can connect. The llama.cpp server documentation distinguishes same-machine, local-network, and public deployments, and gives deployment guidance that includes localhost CORS defaults when tools or agent features are enabled, plus API-key and reverse-proxy recommendations for public deployment. Treat network access as a separate configuration decision, not as an automatic property of local inference. llama.cpp server documentation
Tools and local files
A model interface may be granted access to files, a browser, plugins, MCP servers, or other tools. That access creates additional data paths: a tool may read information the model itself could not access, or send information to an external service. The llama.cpp server documentation describes a tool mode that can give a model access to the local file system. Enable only the tools needed for the task, and understand which commands or services they invoke. llama.cpp server documentation
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.
Device and software security
Keeping data on one device does not protect it from someone who can access that device, its accounts, or its backups. Model files, input parsers, runtimes, and integrations can also present security risks. The llama.cpp security policy recommends sandboxing model execution, isolating untrusted models, preprocessing untrusted inputs, and keeping the runtime and libraries updated. It notes that whether a model is trusted depends on context. llama.cpp security policy
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| Setup | What to assess |
|---|---|
| Local-only inference on your device | Whether the app has connected features; what conversation history, caches, and logs it keeps; device security and backups; and whether the model can do the task you need. |
| A locally hosted server or tool-enabled app | Who can reach the server; authentication, origin, and firewall controls; file and tool permissions; logging and caching; and isolation of the model and runtime. |
These setups involve different privacy and convenience trade-offs; the available documentation does not establish a universal performance comparison or one best choice for everyone.
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.
How to assess a local AI setup
- Identify the inference process. Confirm which model and runtime handle your prompt, then check the app’s official privacy documentation and settings for cloud fallback, sync, telemetry, crash reporting, and update connections.
- Limit network reach. Keep a model server bound to localhost unless remote access is intentional. If you enable network access, configure the runtime’s authentication and origin controls, apply firewall protections, and decide who should be able to connect. llama.cpp server documentation
- Review each tool separately. Check what files, services, or commands it can access before enabling file access, browser access, plugins, MCP servers, or other integrations. Grant only the permissions needed for the task. llama.cpp server documentation
- Check retained prompt data. Review conversation history, prompt caches, logs, crash dumps, and backups. Protect and delete local records according to their sensitivity; the server’s documented prompt caching is one example of retained prompt state. llama.cpp server documentation
- Use trusted software and isolate what you cannot trust. Get model files and runtimes from sources you trust. Sandbox execution, preprocess untrusted inputs, and keep the runtime and libraries current. llama.cpp security policy
- Share less sensitive information. Minimize the data you provide and redact details the model does not need. OWASP includes data minimization and redaction among its recommended controls for LLM and generative-AI data security; these are safeguards, not a measured estimate of leak frequency. OWASP guidance for LLM and generative-AI data security
What local inference cannot prove by itself
A local model label or offline inference capability alone cannot show that a particular app never connects to the internet, never stores prompts, or never exposes data through tools. Those claims require app-specific documentation or direct, reproducible testing. Likewise, there is no established universal leakage rate or percentage of local-AI apps that transmit prompts. Treat privacy as a property of the configured app, device, runtime, and integrations—not as a guarantee supplied by the word “local.”
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.
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