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FanXiang S501 PCIe 3.0 NVMe M.2 Internal SSDUpgrade System: PCIe 3. 0 SSD adopts 3D NAND technology, which improves computer loading speed and power efficiency. Quick Response: NVMe M. 2 PCIe Gen3x4 high speed interface sequential read and write speed can reach 2150 1600 MB s, transmission performance is 5 times that of SATA III interface. Improve Efficiency: Internal SSD can be used to speed up games and increase the efficiency of the office, video, or design work, ideal for tech enthusiasts,
- Upgrade System: PCIe 3.0 SSD adopts 3D NAND technology, which improves computer loading speed and power efficiency.
- Quick Response: NVMe M.2 PCIe Gen3x4 high-speed interface sequential read and write speed can reach 2150/1600 MB/s, transmission performance is 5 times that of SATA III interface.
- Improve Efficiency: Internal SSD can be used to speed up games and increase the efficiency of the office, video, or design work, ideal for tech enthusiasts, high-end gamers, and content creators.
- Wide Compatibility: M.2 SSD form factor is suitable for motherboards, desktops, and laptops with M.2 interface. Perfect compatibility with Windows 8/10/11 and later. (Note: This SSD doesn't work on PS5!!!)
- Excellent Performance: M.2 NVMe SSD has the characteristics of fast response speed, low power consumption, Stable and durability, no noise, shock resistance, and high-temperature resistance, and built-in LDPC ECC error correction function.
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4.6 ★★★★★
Based on 180 reviews
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Product Reviews
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 6, 2026
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
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