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Thermalright TF9 2.9g Thermal Paste Heat Sink Compound 14W/m.k-2.9 Grams,High Durability, for All Heatsinks CPU Coolers/CPU/GPU, High Performance Computer Cooling Paste,with applying Tool (TF9 2.9g)
Price: $6.59
(as of Jan 21,2025 17:58:22 UTC – Details)
Product Description
Product Dimensions : 3.15 x 7 x 0.39 inches; 0.53 ounces
Item model number : TF9 2.9g-d2
Date First Available : May 4, 2022
Manufacturer : Thermalright
ASIN : B09ZHPQH9T
Country of Origin : China【High performance】Excellent performance comes from its first-class data, thermal conductivity up to 14W/m.k, it has a good record of high cooling performance
【Durability】Thermal conductive silicone grease has long service life and low volatility, which can maintain its thermal conductivity in CPU, GPU, radiator module, chipset, sensor and other electronic components for a long time.
【Stability】The available temperature is -220℃ / +380℃, thermal resistance < 0.01, density is 2.9 (25℃). Even in high or low temperature environment, its cooling advantage will not be affected.
【Easy to apply】 The needle-type designs is convenient for application and storage. the paste is not stiff and comes with a spatula, so that all beginners can easily apply.
【Application Method】 Thermal paste is extremely spreadable and suitable for beginners, you can squeeze out five small dots on the CPU and press it down with a heat sink. Or use the included spatula to smooth it out. If you have any questions, please consult the shop customer service.
Looking for the perfect thermal paste for your CPU or GPU? Look no further than the Thermalright TF9 2.9g Thermal Paste!With a thermal conductivity of 14W/m.k-2.9 Grams, this high-performance heat sink compound is designed to keep your computer running cool even under heavy loads. It’s perfect for all heatsinks, CPU coolers, CPUs, and GPUs, ensuring optimal heat dissipation and performance.
Not only does the TF9 2.9g provide superior cooling, but it also boasts high durability, so you can trust that your components will stay protected for the long haul. Plus, it comes with an easy-to-use applying tool, making installation a breeze.
Don’t let overheating slow down your computer – upgrade to the Thermalright TF9 2.9g Thermal Paste and experience the difference in cooling performance today!
#Thermalright #TF9 #2.9g #Thermal #Paste #Heat #Sink #Compound #14Wm.k2.9 #GramsHigh #Durability #Heatsinks #CPU #CoolersCPUGPU #High #Performance #Computer #Cooling #Pastewith #applying #Tool #TF9 #2.9g,thermalright fw360Thermalright TF9 1.5g Thermal Paste Heat Sink Compound 14W/m.k-1.5 Grams,High Durability, for All heatsinks CPU Coolers, with applying Tool (TF9 1.5g)
Price: $4.89
(as of Jan 21,2025 16:49:55 UTC – Details)
Product Description
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Customer Reviews
4.7 out of 5 stars
48
4.7 out of 5 stars
65
4.6 out of 5 stars
52
4.8 out of 5 stars
251
4.1 out of 5 stars
51
4.8 out of 5 stars
350
Price
$21.99$21.99 $36.89$36.89
— $45.49$45.49 $14.69$14.69 $7.39$7.39Heatpipe
5×6mm heatpipes 6×6mm heatpipes 5×8mm heatpipes 6×6mm heatpipesCPU Sockel
Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA1700; AMD: AM4:AM5 Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA2011, LGA2066, LGA1700; AMD: AM4 Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA2011, LGA2066, LGA1700; AMD: AM4 Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA2011, LGA2066, LGA1700; AMD: AM4:AM5 Intel: LGA1700Lüfter Geschwindigkeit
1550±10%RPM 1800±10%RPM 1850±10%RPM 1500±10%RPMHöhe
148MM/5.83in 67MM/2.64in 160MM/6.3in 157MM/6.18inRolle
CPU-Kühler CPU-Kühler CPU-Kühler CPU-Kühler Intel-CPU der 12. Generation mit Anti-BenderProduct Dimensions : 3.15 x 7 x 0.39 inches; 0.04 ounces
Item model number : TF9 1.5g-D6
Date First Available : June 6, 2022
Manufacturer : Thermalright
ASIN : B0B2QP3VRN
Country of Origin : ChinaThermal resistance: <0.01
Weight: 1.5g
Thermal conductivity 14W/m.k
Usable temperature: -220℃/+380℃
Ideal consistency and is very easy to use even for beginners
Are you looking to upgrade your CPU cooler for better performance and heat dissipation? Look no further than the Thermalright TF9 1.5g Thermal Paste Heat Sink Compound. This high-quality thermal paste is designed for all heatsinks and CPU coolers, providing excellent heat conductivity with a thermal conductivity of 14W/m.k-1.5 Grams.The TF9 1.5g thermal paste is not only highly durable but also easy to apply with the included applying tool. This means you can quickly and efficiently apply the paste to your CPU cooler without any hassle. With this thermal paste, you can ensure that your CPU stays cool and performs at its best even under heavy loads.
Upgrade your CPU cooler with the Thermalright TF9 1.5g Thermal Paste Heat Sink Compound today and experience improved performance and heat dissipation. Don’t let your CPU overheat – invest in quality thermal paste for optimal cooling.
#Thermalright #TF9 #1.5g #Thermal #Paste #Heat #Sink #Compound #14Wm.k1.5 #GramsHigh #Durability #heatsinks #CPU #Coolers #applying #Tool #TF9 #1.5g,thermalright fw360Thermalright TF8 High Performance Thermal Compound Paste 2 Grams, 13.8W/mK, High Durability, for All heatsinks CPU Coolers, with applying Tool (TF8 2g)
Price: $5.49
(as of Jan 21,2025 15:43:50 UTC – Details)
Product Description
Add to Cart
Add to Cart
Add to Cart
Add to Cart
Customer Reviews
4.8 out of 5 stars
87
4.3 out of 5 stars
49
4.6 out of 5 stars
30
4.8 out of 5 stars
251
4.8 out of 5 stars
350
5.0 out of 5 stars
3
Price
$26.69$26.69 $29.59$29.59
— $48.79$48.79 $7.89$7.89
—Heatpipe
6×6mm heatpipes 4×6mm heatpipes 4×8mm heatpipes 6×6mm heatpipesCPU Sockel
Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA1700; AMD: AM4 Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200; AMD: AM4 Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA2011, LGA2066, LGA1700; AMD: AM4 Intel: LGA1150, LGA1151, LGA1155, LGA1156，LGA1200, LGA2011, LGA2066, LGA1700; AMD: AM4:AM5 Intel: LGA1700Lüfter Geschwindigkeit
1550±10%RPM 2700±10%RPM 1500±10%RPM 1500±10%RPMHöhe
154MM/6.06in 53MM/2.09in 160MM/6.3in 157MM/6.18inRolle
CPU-Kühler CPU-Kühler CPU-Kühler CPU-Kühler Intel-CPU der 12. Generation mit Anti-Bender Thermische PadsPackage Dimensions : 7.01 x 4.09 x 0.71 inches; 0.07 ounces
Item model number : TF8 2g-d6
Date First Available : April 26, 2022
Manufacturer : Thermalright
ASIN : B09YT51LV9
Country of Origin : ChinaThermal conductivity 13.8W/m.k
Thermal resistance: <0.01
Usable temperature: -220℃/+380℃
Conductivity: NoneCustomers say
Customers find the heat sink to be a good value for the price. It works well and reduces temperature without thermal throttle. They appreciate its performance and ease of use.
AI-generated from the text of customer reviews
Looking for a high performance thermal compound paste to keep your CPU cool under pressure? Look no further than the Thermalright TF8 Thermal Compound Paste! With a thermal conductivity of 13.8W/mK, this paste is designed to transfer heat away from your CPU quickly and efficiently.Not only does the TF8 offer excellent thermal performance, but it also boasts high durability to ensure long-lasting effectiveness. With 2 grams of paste included in the tube, you’ll have plenty to cover multiple applications.
What sets the TF8 apart from other thermal compounds is the included applying tool, making it easier than ever to apply the paste evenly and smoothly onto your heatsink. Say goodbye to messy applications and uneven coverage!
Whether you’re a seasoned PC builder or a first-time user, the Thermalright TF8 Thermal Compound Paste is the perfect solution for keeping your CPU cool and performing at its best. Upgrade your cooling system today with the TF8 2g tube!
#Thermalright #TF8 #High #Performance #Thermal #Compound #Paste #Grams #13.8WmK #High #Durability #heatsinks #CPU #Coolers #applying #Tool #TF8,thermalright fw360
Interpreting Dreams with Dream Song Oracle: A Beginner’s Guide to Understanding and Applying Oracle Cards
Dreams have long been a source of fascination and intrigue for humans throughout history. They have been interpreted in various ways, from mystical and supernatural to psychological and scientific. One popular method of interpreting dreams is through the use of oracle cards, such as the Dream Song Oracle.The Dream Song Oracle is a deck of cards specifically designed to help individuals interpret their dreams and gain insight into their meanings. Each card in the deck features a different image and message that can be used to help decipher the symbolism and messages found in dreams.
For beginners looking to explore the world of dream interpretation with the Dream Song Oracle, it is important to first understand the basics of how oracle cards work. Oracle cards are a tool that can be used to tap into the subconscious mind and receive guidance and insights from the universe. They can help individuals connect with their intuition and gain a deeper understanding of their dreams and the messages they contain.
To use the Dream Song Oracle, start by shuffling the deck and focusing on a specific dream or question that you have. Then, draw a card from the deck and take a moment to study the image and message on the card. Pay attention to any feelings or insights that come to you as you look at the card.
Next, consider how the imagery and message on the card relate to your dream or question. Think about the symbols and themes that are present in both the card and your dream, and how they might be connected. Trust your intuition and allow the messages from the card to guide you in interpreting your dream.
As you become more comfortable using the Dream Song Oracle, you can start to incorporate it into your daily practice of dream interpretation. You can use the cards to gain insight into recurring dreams, to explore the meanings behind specific symbols, or to receive guidance on how to navigate challenging situations in your waking life.
Remember that dream interpretation is a personal and subjective practice, and there is no right or wrong way to interpret your dreams. The Dream Song Oracle is simply a tool to help you access your own inner wisdom and intuition, and to gain a deeper understanding of the messages that your dreams are trying to communicate.
In conclusion, the Dream Song Oracle is a powerful tool for beginners looking to explore the world of dream interpretation. By using the cards to tap into your intuition and connect with the symbols and messages in your dreams, you can gain valuable insights and guidance that can help you navigate your inner world and your waking life with greater clarity and understanding.
#Interpreting #Dreams #Dream #Song #Oracle #Beginners #Guide #Understanding #Applying #Oracle #Cards,dream song oracle
Applying Mathematical Concepts to Understand Machine Learning Techniques
Machine learning techniques have become essential tools in various industries, from finance to healthcare to marketing. These techniques allow computers to learn from data and make predictions or decisions without being explicitly programmed. While machine learning algorithms can seem complex, they are built on fundamental mathematical concepts that are crucial for understanding how they work.One of the key mathematical concepts that underpin machine learning is linear algebra. Linear algebra involves the study of vectors, matrices, and linear transformations. In machine learning, matrices are used to represent data sets, where each row corresponds to an observation and each column corresponds to a feature. By performing operations on these matrices, machine learning algorithms can identify patterns and relationships in the data that can be used to make predictions.
Another important mathematical concept in machine learning is calculus. Calculus is used to optimize machine learning algorithms by finding the minimum or maximum of a function. For example, in gradient descent, a popular optimization algorithm used in machine learning, calculus is used to find the direction in which the algorithm should move to minimize the loss function.
Probability theory is also essential for understanding machine learning techniques. Probability theory allows us to quantify uncertainty and make predictions based on probabilities. Machine learning algorithms such as Naive Bayes and Gaussian processes rely on probability theory to make predictions and classify data.
Statistics is another mathematical concept that is crucial for machine learning. Statistics allows us to make inferences about a population based on a sample of data. Machine learning algorithms use statistical techniques to estimate parameters and make predictions about unseen data.
By applying mathematical concepts such as linear algebra, calculus, probability theory, and statistics, we can gain a deeper understanding of how machine learning techniques work. This understanding is crucial for developing and improving machine learning algorithms, as well as for interpreting the results of machine learning models.
In conclusion, mathematical concepts play a crucial role in understanding machine learning techniques. By applying concepts from linear algebra, calculus, probability theory, and statistics, we can gain insight into how machine learning algorithms work and how they can be applied to solve real-world problems. Understanding these mathematical concepts is essential for anyone working in the field of machine learning.
#Applying #Mathematical #Concepts #Understand #Machine #Learning #Techniques,machine learning: an applied mathematics introduction
The Practitioner’s Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
Price:$79.99– $70.06
(as of Dec 31,2024 17:37:32 UTC – Details)
From the brand
Databases, data science & more
Sharing the knowledge of experts
O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
Publisher : O’Reilly Media; 1st edition (May 5, 2020)
Language : English
Paperback : 417 pages
ISBN-10 : 1492044075
ISBN-13 : 978-1492044079
Item Weight : 1.47 pounds
Dimensions : 7 x 0.86 x 9.19 inchesCustomers say
Customers find the book provides a collection of examples that walk you through the stages of graph queries. They find the writing quality good and easy to follow for beginners. The book is also described as thoughtfully done and suitable for beginners.
AI-generated from the text of customer reviews
Graph data is a powerful tool that can be used to solve complex problems in a variety of industries. Whether you are a data scientist, software engineer, or business analyst, understanding how to apply graph thinking and graph technologies can help you uncover insights and make better decisions.In this practitioner’s guide, we will explore the fundamentals of graph data and how it can be used to solve complex problems. We will cover topics such as graph theory, graph databases, and graph algorithms, and provide practical examples of how these concepts can be applied in real-world scenarios.
By the end of this guide, you will have a solid understanding of how to leverage graph data to solve complex problems and drive innovation in your organization. So let’s dive in and explore the world of graph thinking and graph technologies together.
#Practitioners #Guide #Graph #Data #Applying #Graph #Thinking #Graph #Technologies #Solve #Complex #Problems,principles of machine learning: the three perspectives
Applying Recurrent Neural Networks in Real-World Scenarios
Recurrent Neural Networks (RNNs) have gained popularity in recent years for their ability to handle sequential data and time series analysis. This type of neural network is especially useful in real-world scenarios where data is constantly changing and evolving, such as in natural language processing, speech recognition, and financial forecasting.One of the key advantages of RNNs is their ability to maintain a memory of previous inputs, allowing them to better understand and analyze patterns in sequential data. This makes them particularly well-suited for tasks such as predicting stock prices, analyzing customer sentiment in social media posts, and generating text or speech.
In natural language processing, RNNs are often used for tasks like language translation, sentiment analysis, and text generation. By processing words in a sentence one at a time and remembering the context of previous words, RNNs can generate more accurate and coherent translations or sentiment analysis results.
In speech recognition, RNNs can be used to transcribe spoken words into text, enabling applications like voice-controlled virtual assistants and speech-to-text software. By analyzing the audio data in sequential chunks and remembering previous sounds, RNNs can accurately decode spoken words and phrases.
In financial forecasting, RNNs can be used to predict stock prices, analyze market trends, and identify potential investment opportunities. By analyzing historical stock data and market indicators in a sequential manner, RNNs can make more accurate predictions about future price movements and help investors make informed decisions.
Overall, RNNs have a wide range of applications in real-world scenarios where sequential data analysis is required. Their ability to maintain a memory of previous inputs and understand patterns in sequential data makes them a powerful tool for tasks like natural language processing, speech recognition, and financial forecasting. As technology continues to evolve, RNNs are likely to play an increasingly important role in a variety of industries and applications.
#Applying #Recurrent #Neural #Networks #RealWorld #Scenarios,rnn
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microsc
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microsc
Price : 22.80
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opy, and Drug DiscoveryDeep Learning has revolutionized many industries, including the life sciences. In the field of genomics, deep learning algorithms are being used to analyze vast amounts of genetic data to identify patterns and make predictions about disease risk, treatment outcomes, and more. By training deep neural networks on large genomic datasets, researchers are able to uncover hidden relationships and gain new insights into the complex interactions between genes and proteins.
In microscopy, deep learning is being used to enhance the resolution and quality of images, allowing scientists to study biological specimens in greater detail than ever before. By training deep convolutional neural networks on microscopy images, researchers can automatically identify and analyze cellular structures, track the movement of cells, and even predict the behavior of biological systems.
In drug discovery, deep learning is being used to predict the effectiveness and safety of potential drug candidates, reducing the time and cost of bringing new therapies to market. By training deep learning models on chemical structures and biological data, researchers can identify promising drug candidates, optimize their properties, and predict how they will interact with the human body.
Overall, deep learning is transforming the life sciences by enabling researchers to analyze complex biological data more effectively, make more accurate predictions, and ultimately accelerate the pace of scientific discovery. As the field continues to advance, we can expect even more groundbreaking applications of deep learning in genomics, microscopy, drug discovery, and beyond.
#Deep #Learning #Life #Sciences #Applying #Deep #Learning #Genomics #Microsc, deep learning
Cyber Security Basics: Protect Your Organization by Applying the Fundamentals
Cyber Security Basics: Protect Your Organization by Applying the Fundamentals
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Cyber Security Basics: Protect Your Organization by Applying the FundamentalsIn today’s digital age, cyber security is more important than ever. With the rise of cyber attacks and data breaches, it’s crucial for organizations to have strong security measures in place to protect their sensitive information and assets. By applying the fundamentals of cyber security, you can help safeguard your organization from potential threats and ensure the safety of your data.
Here are some key basics to keep in mind when it comes to cyber security:
1. Implement strong passwords: Make sure all employees use complex, unique passwords for their accounts and systems. Consider using a password manager to generate and store secure passwords.
2. Keep software up to date: Regularly update all software and applications to patch security vulnerabilities and protect against potential threats.
3. Use multi-factor authentication: Enable multi-factor authentication for added layers of security, requiring users to verify their identity through multiple means (e.g. password, SMS code, biometric scan).
4. Educate employees: Provide cyber security training for employees to raise awareness about potential threats and teach best practices for safe online behavior.
5. Secure your network: Use firewalls, encryption, and other security measures to protect your network from unauthorized access and cyber attacks.
6. Backup data: Regularly back up your data to ensure that you can recover in case of a cyber attack or data breach.
By following these basic principles of cyber security, you can help protect your organization from potential threats and ensure the safety of your data and assets. Stay vigilant, stay informed, and stay secure.
#Cyber #Security #Basics #Protect #Organization #Applying #Fundamentals, Cybersecurity
AI Governance: Applying AI Policy and Ethics through Principles and Assessments,
AI Governance: Applying AI Policy and Ethics through Principles and Assessments,
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Artificial Intelligence (AI) is rapidly transforming industries and societies, leading to a growing need for governance and regulation to ensure its ethical and responsible use. AI governance involves applying policies and ethical principles to guide the development, deployment, and use of AI technologies.One key aspect of AI governance is the establishment of principles and assessments to evaluate the impact of AI systems on individuals, society, and the environment. These principles may include transparency, accountability, fairness, and privacy, among others. Assessments, on the other hand, help organizations and policymakers measure the compliance of AI systems with these principles and identify potential risks and biases.
By incorporating principles and assessments into AI governance frameworks, organizations and governments can ensure that AI technologies are deployed in a way that respects human rights, promotes diversity and inclusion, and minimizes harm to individuals and society. This approach also helps build trust in AI systems and encourages responsible innovation in the field.
In conclusion, AI governance is essential for ensuring the ethical and responsible development and use of AI technologies. By applying principles and assessments, organizations and governments can navigate the complex ethical challenges posed by AI and promote a more inclusive and sustainable future.
#Governance #Applying #Policy #Ethics #Principles #Assessments
