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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11For writing that must stay on your computer, a correctly configured local LLM gives you more direct control over where text is processed. Grammarly is the more ready-to-use editing service, but it processes text when its features are active. Neither option can be declared the better editor from the official product materials reviewed: they do not provide a controlled, apples-to-apples quality comparison.
How their privacy models differ
Grammarly processes text while its features are active
Grammarly says it analyzes text and related information to provide suggestions and services, and that it cannot access writing when a Grammarly product is not actively in use. Its privacy disclosure also says it does not sell user content for advertising. These are Grammarly’s published statements, not independent verification of its practices: Grammarly Privacy Policy.
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Grammarly offers a separate Product Improvement and Training setting for individual Free, Premium, and single-user Pro accounts. The company says that opting out prevents user content entered where Grammarly is active from being used to train or validate models or inform product development; non-content information such as writing statistics may still be collected and used. Grammarly says the control is off by default for specified enterprise and education accounts, including sales-purchased Pro/Business accounts. Check the current setting and terms that apply to your account: Grammarly Support: Product Improvement and Training Control.
That opt-out is not the same as preventing processing needed to provide Grammarly’s active features. Grammarly also says generative-AI prompt text and context may be shared with a limited number of vetted service providers, which are not allowed to train on user content. Its security FAQ describes TLS encryption in transit and AES-256 encryption at rest. Those statements address safeguards and provider training, not whether any processing or sharing occurs: Grammarly Security and Privacy FAQ.
#1 Best Overall
- 【High-Performance APU】The MS-S1 MAX features an AMD Ryzen AI Max+ 395 APU, integrating a Zen 5 architecture CPU (up to 5.1GHz, 16C/32T, 64M L3 Cache), an RDNA 3.5 GPU, and an NPU (50 TOPS). The total system output is 126 TOPS. It provides powerful parallel computing capabilities for demanding AI workflows. It is ideal for running local LLMs, multimodal models, and computationally intensive tasks
- 【128GB UMA Memory】Equipped with up to 128GB of LPDDR5x-8000MT/s unified memory, it enables the CPU and GPU to access a shared, high-bandwidth memory pool with extremely low latency. Ideal for large-scale AI inference, 3D workloads, and complex timelines in video editing. It eliminates traditional VRAM bottlenecks, ensuring smoother data transfer during high-intensity computations. The UMA design maximizes performance stability under high loads
- 【Flexible Expansion】The MS-S1 MAX features USB4 V2 (up to 80Gbps), dual 10GbE LAN, HDMI 2.1 (up to 8K60), a full-length PCIe x16 expansion slot, and dual M.2 slots supporting up to 16TB RAID 0/1. Wi-Fi 7 provides stronger signal coverage and a more stable wireless experience. The slide-out design facilitates upgrades and maintenance. It easily adapts to personal, studio, or rack-mount enterprise environments
- 【High-Efficiency Cooling System】Utilizing an aerospace-grade aluminum alloy chassis, copper base plate, six heat pipes, dual turbine fans, and advanced PCM thermal conductive material, it maintains stable cooling performance even under continuous load. This system supports 130W continuous power and 160W peak power operation, with a built-in 320W power supply. It boasts multiple global certifications including CCC, FCC, UL, CE, and UKCA, ensuring stable and reliable operation in various environments
- 【Cluster Design】Two MS-S1 MAX units can be configured as a dual-unit cluster to run a large 235B Q4 model locally, achieving an output speed of 10.87 tok/s. Supporting 2U rack deployment, multiple MS-S1 MAX units can be cascaded into a distributed cluster to create a high-efficiency AI computing center. A cluster of four MS-S1 MAX units successfully ran a DeepSeek-R1 671B Q4 large model. A reserved cluster power-on interface allows for unified start-up and shutdown
Retention also depends on the type of writing. Grammarly says documents saved in Grammarly Editor remain stored until you delete them or your account; other text is processed as needed to provide and administer services. Its privacy and subprocessors pages describe these practices: Privacy Policy and Subprocessors.
Ollama’s local and cloud routes are different
Ollama’s privacy policy, last updated in March 2026, says it does not collect, store, transmit, or access prompts, responses, model interactions, or other content processed locally. It says it may collect limited device and usage metadata that does not include prompt or response content. For cloud-hosted models, Ollama says prompts and responses are processed transiently to provide the service, are not stored beyond what is needed to fulfill the request, and are not used to train models. The local-processing statement therefore does not apply to a cloud request: Ollama Privacy Policy.
Rank #2
- Unlock next-generation AI computing with AMD Ryzen AI Max+ 395 processor featuring 16 cores, 32 threads, up to 5.1GHz boost clock, and integrated Ryzen AI engine delivering up to 126 TOPS AI performance. EVO-X3 is designed for local AI models, content creation, development, and professional workloads.
- OCuLink External GPU Expansion – Upgrade Beyond a Mini PC: Take your graphics performance further with a dedicated OCuLink (PCIe 4.0 x4) interface. Connect an external GPU dock to add desktop-class graphics power for AAA gaming, AI acceleration, 3D rendering, video production, and advanced creative applications. EVO-X3 gives you the flexibility of a compact PC with workstation-level expansion capability.
- 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.
Ollama documents a local server endpoint as well as cloud-hosted models, so the name of the app alone does not tell you where a particular request runs: Ollama API documentation. Its FAQ explains that cloud features can be disabled; doing so also makes cloud models and web search unavailable: Ollama FAQ: Cloud models.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →If your requirement is that writing never leave a network-isolated computer, check the full application setup and network behavior, not just whether the model is described as local. A local inference route gives you more direct control, but the claim depends on using that route and configuring the surrounding tools accordingly.
Which one edits better?
The cited vendor materials describe privacy, product controls, and setup; they do not establish whether Grammarly or a local LLM catches more errors, preserves voice better, or produces clearer revisions. Fluent output is not proof of proofreading accuracy, and there is no controlled head-to-head result here to support a winner.
If you are choosing for editing quality, compare both on the same passages and tasks. Judge correction precision (useful changes versus false positives), grammar and spelling coverage, preservation of meaning and voice, clarity, tone control, consistency across repeated runs, and the amount of manual review required. A meaningful comparison should record the Grammarly plan and features, the local model and version, runtime settings, date, and exact text and prompts. Treat your own result as specific to that setup rather than a universal ranking.
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 128GB 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.
Convenience and the cost of running a local model
Grammarly fits into supported writing contexts
Grammarly describes browser, desktop, and mobile offerings that provide suggestions while active. The exact capabilities depend on platform and plan, so verify the features available in the product you use: Grammarly Privacy Policy.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesOllama requires installation, a model download, and suitable resources
Ollama’s quickstart walks users through installing the runtime and downloading a model, then using it through the machine’s local server endpoint: Ollama download and Ollama API documentation. This adds setup and model-selection steps compared with activating an editing product; in exchange, a local configuration can keep inference on the machine.
Hardware needs vary by model, context window, and configuration. Ollama’s quickstart gives a specific example—not a general minimum—of about 7.2 GB for its Gemma 4 E2B model download and recommends 8 GB of available VRAM or unified memory for that example. It warns that larger context windows require more memory and that using system RAM when there is less VRAM can slow responses: Ollama Quickstart.
For Windows, Ollama’s documentation says the app itself needs at least 4 GB of storage, with additional model storage that may reach tens to hundreds of GB depending on what you download: Ollama Windows documentation.
Quick Recap
Which should you choose?
- Choose a local LLM if keeping inference local is your priority and you are prepared to choose a model, manage downloads, and confirm that requests are not routed to cloud features.
- Choose Grammarly if you value an integrated, ready-to-use editing workflow and are comfortable with the service’s stated active-use processing and account controls.
- Test both if editing quality is the deciding factor. The cited official materials do not settle that comparison, so evaluate them on your own writing and review the changes rather than assuming either is more accurate.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
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