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Description
Akasa Soho H7 ARGB CPU Cooler, Black, 2x 120mm PWM Fan, Dual Tower, Aluminium Fins, 7x Copper Heatpipes, Intel/AMDAkasa OHO H7 Dual Tower CPU Cooler with Addressable RGB Ultra hi performance premium CPU cooler fitted with dual full aRGB, intelligent PWM speed control 120mm fan and 7 copper pipes. Designed for CPUs with a maximum TDP of 250W. Dual Heatsink and Fan Operation Doubled surface area allows for superior thermal dissipation, resulting in optimal cooling of the CPU, aided by the additional airflow from the second fan. Crucial Design for Hi End Cooling
Akasa OHO H7 Dual Tower CPU Cooler with Addressable RGBUltra hi-performance premium CPU cooler fitted with dual full aRGB, intelligent PWM speed control 120mm fan and 7 copper pipes. Designed for CPUs with a maximum TDP of 250W.
Dual Heatsink and Fan Operation
Doubled surface area allows for superior thermal dissipation, resulting in optimal cooling of the CPU, aided by the additional airflow from the second fan.
Crucial Design for Hi-End Cooling Efficiency
The 7 high performing copper heatpipes and base with Direct Touch Technology (DTT) for hi-efficient heat conductance and transfer. Ensuring cooling efficiency is at the forefront of the CPU cooling design and the cooler is able to support CPU's up to 250W TDP.
Designed for the Latest Sockets
Increased contact surface area to support the latest Intel® LGA1700 and AMD AM5 sockets, and corresponding processors which are larger in size or density.
Elevated Aesthetics
Experience a variety of visual possibilities with over 16.8 million colour combinations for total customisable pulsating aRGB lighting. Unique premium aluminium top cover design helps give a distinct look to your desktop.
Maximum Reliability in Cooling Performance
Intelligent PWM synced speed control ensures that the fan cools your system efficiently, staying quiet under lower loads and performing effectively otherwise. Superior rotor design with hydro dynamic bearing for improved lubrication, reducing fan noise and extending fan life up to 40,000 hours.
Sleek Black Fins
High density design for maximum thermal distribution to ensure CPU has superb cooling. Electro-painted in black for corrosion resistance and sleek aesthetics
Easy Installation and Wide Compatibility
Mounting kit offers easy and secure installation for a wide range of Intel® and AMD motherboards.
Memory Compatibility
Specially designed heatsinks with cutouts, for maximum RAM compatibility including mini-ITX motherboards.
Motherboard Sync
Motherboard sync certified by popular RGB software including Asus®, ASRock®, Gigabyte™ RGB Fusion, MSI® and Razer Chroma™.
Included Ultra-Performance Thermal Paste
T5 Pro-Grade Plus thermal paste is included with hybrid silicone and nano-diamond particles for ultra-performance. Outperforming other top selling ultra-performance competitor thermal pastes.
Features
• Dual heatsink and vibrant aRGB fan operation.
• 7 copper heatpipes and base for efficient heat dissipation.
• Secure and easy mounting.
• Designed for the latest Intel® LGA1700 & AMD AM5.
• Supporting CPU's with thermal design of up to 250W TDP.
Cooler Specifications
Edition
Soho H7
Cooler Form Factor
Dual Tower
Heatpipes
7
Cooler Features
Addressable RGB Lighting
Aluminium Fins
Copper Heatpipes
Socket Compatibility
1150
1151
1155
1156
1200
1700
1851
2011
2066
AM4
AM5
Max. TDP
250W
Fan Specifications
Included Fan Configuration
2 x 120mm w/ Addressable RGB LEDs
PWM Fan
Yes
Fan Bearing Type
Hydro-Dynamic Bearing
Fan Colour
Black
LED Lighting
Addressable RGB
Fan/Pump Connectors
2 x 3-Pin ARGB
2 x 4-pin
Max. Fan Speed
2000 rpm
Max. Fan Airflow
52.91 CFM
Max. Air Pressure
1.81 mm H²O
Max. Sound Level
31.8 dBA
Materials
Cooler Materials
Aluminium / Copper
Included TIM (Thermal Interface Material)
Included
Dimensions & Weight
Heatsink/Radiator Dimensions
136.8 x 120 x 158 mm (WxHxD)
Weight
1192.8 g
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
4.8 ★★★★★
Based on 28 reviews
Sort
Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021
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