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- USA
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- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 10 - Jul 15
For Your Every Summer RSVP, with Code: SUMMER15
Description
ADATA Premier AD4U32008G22-SGN 8GB (1x 8GB) DIMM System Memory, 3200MHz, DDR4, CL22Premier DDR4 3200 U DIMM represents a new and appealing desktop memory upgrade option, with optimized support for the latest Intel and AMD processors and chipset platforms delivering high performance. Meticulous compliance with JEDEC DDR4 specifications means fast clock frequencies up to 3200MHz combined with 20% power draw savings compared to DDR3. Premier DDR4 3200 modules therefore boost both performance and environmental conservation. Features
Premier DDR4 3200 U-DIMM represents a new and appealing desktop memory upgrade option, with optimized support for the latest Intel and AMD processors and chipset platforms delivering high performance. Meticulous compliance with JEDEC DDR4 specifications means fast clock frequencies up to 3200MHz combined with 20% power draw savings compared to DDR3. Premier DDR4 3200 modules therefore boost both performance and environmental conservation.Features
- High speed up to 3200MHz
- Transfer bandwidth up to 25.6GB/s
- Energy efficient: saves 20% power compared to DDR3
- 8-layer PCB provides improved signal transfer and
system stability
- Supports Intel Core 8th/9th/10th series and AMD ZEN 2nd 3rd Ryzen series
Specifications
Memory Type
DDR4
Form Factor
U-DIMM
Capacity
8GB
Speeds
3200MHz
CAS Latencies
22
Operating Voltage
1.2V
Operating Temperature
0°C to 85°C
Warranty
Limited lifetime warranty
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
4.3 ★★★★★
Based on 1113 reviews
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Product Reviews
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025
★★★★★ 5
Great helpful book.
Format: Kindle
This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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Reviewed in the United States on February 21, 2025
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025