Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 15 - Jul 20
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Jagwire Road Elite Link Brake Cable Kit - SRAM/Shimano, Ultra-Slick Uncoated Cables, Ltd. CelesteJagwire Elite Link housing is the ultimate combination of durability and attention grabbing looks. Lightweight and flexible, its compressionless design and along with the included ultra slick polished inner cables delivers powerful, consistent braking power. Each kit comes with links pre installed on housing segments for quick and easy setup. Durable, flexible aluminum housing won't kink or rust Compressionless housing improves braking performance and
Jagwire Elite Link housing is the ultimate combination of durability and attention grabbing looks. Lightweight and flexible, its compressionless design and along with the included ultra-slick polished inner cables delivers powerful, consistent braking power. Each kit comes with links pre-installed on housing segments for quick and easy setup.- Durable, flexible aluminum housing won't kink or rust
- Compressionless housing improves braking performance and feel
- Links come pre-installed on lubricated liners for quick and easy setup
- 50% lighter than traditional brake housing
- Ultra-slick polished inner cables minimize friction and have no coating to wear off
- Single-ended SRAM/Shimano road compatible cable ends are weld-cut for easy installation
Product Specifics
- Brake Cable Head Type: Road
- Color: Celeste
- Defined Color: Blue
Today's Stock Status
10 Available to ship in 2-4 Business Days
UPC: Not available
EAN: 4715910039816
Manufacturer Part Number: RCK706
CA7013
183460-Q0-L
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.5 ★★★★★
Based on 482 reviews
Sort
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!
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 23, 2025