How do you apply Thermal Compound to a CPU?


How do you apply Thermal Compound to a CPU?  

34 members have voted

  1. 1. How do you apply Thermal Compound to a CPU?

    • Small Pea sized blob of Thermal Compound in the middle of the CPU, install heat sink on top.
    • Spread the Thermal Compound with a card, or using your finger (wearing gloves), then apply heat sink.
    • Other


Recommended Posts

As title; How do you apply Thermal Compound to a CPU?

Is there a right or wrong way to do it?

I've always done it as a small pea sized blob in the middle, and let the heat sink do the spreading by just slapping it on top. I've always thought the other method could run the risk of air bubbles.

I've always done it as a small pea sized blob in the middle, and let the heat sink do the spreading by just slapping it on top. I've always thought the other method could run the risk of air bubbles.

This is the method I always use. I think the air bubbles thing is just a myth, but regardless, it's easier and faster just to put the pea-size blob on there and be done with it.

I use a pea sized blob. The best way to make sure you have a good seal is to put a specific size, press it down firmly then raise it back up to see the kind of seal that amount gives. If it looks good, clean it off and redo that exact amount, if it needs work change the size accordingly.

Don't you need to apply it differently now with dual, quad and etc. numbers of cores in the cpu?

CPUs are designed to have the hottest area in the center for obvious thermodynamic reasons.

Below is a thermal image of an i7-2600K:

cputhermal_sm.jpg

So I guess you could argue that the pea-size method is the best because you are guaranteed to get the best coverage on the center every time.

Don't you need to apply it differently now with dual, quad and etc. numbers of cores in the cpu?

You can, but it won't make much of a difference.

I look at it this way, if you took a processor with no cooling the heat from the cores will spread throughout the entire IHS (not evenly of course since the heat source is in the center), so why try to "spot cool" only over top the cores? The heat that doesn't transfer directly to the thermal paste is going to spread to the parts of the IHS that doesn't have thermal paste, and then those parts of the IHS are not going to get cooled as efficiently.

Might as well cool the entire IHS, more surface area being cooled = more cooling to the cores. No point in trying to only cool over top the cores when the whole IHS is going to get at least some heat from the cores.

I spread it perfectly over the entire CPU until an almost transparent layer covers the whole thing

Putting a blob in the middle in no way guarantees that the entire CPU is covered once you seat the heatsink, the paste could easily be compressed one way much more than the other

I spread it perfectly over the entire CPU until an almost transparent layer covers the whole thing

Putting a blob in the middle in no way guarantees that the entire CPU is covered once you seat the heatsink, the paste could easily be compressed one way much more than the other

This! I use plastic wrap so it doesn't get all over my finger.

This is how I do it.

Awesome.....although that did lead to a nice video of why you should use the pea method

.

Basically the line method works but will more easily fall off the edge, the spreading a thin layer method increases the chances (significantly) of getting air bubbles. The pea method doesn't do either of that and is much easier to do.

I've used the pea method and have never had any heating issues on my CPU unless I go crazy overclocking without throwing on water cooling.

Just reading all the answers and replies, I'm not sure what this "air bubble" thing is? I've buit 100's of PC's and have always spead the thermal past evenly across the CPU and I've never once had an issue doing it this way! I've bent a few CPU pins along the way, by dropping the CPU while putting it in place, but not once have I had any issues applying paste using the afforementioned method.

Awesome.....although that did lead to a nice video of why you should use the pea method

.

Basically the line method works but will more easily fall off the edge, the spreading a thin layer method increases the chances (significantly) of getting air bubbles. The pea method doesn't do either of that and is much easier to do.

I've used the pea method and have never had any heating issues on my CPU unless I go crazy overclocking without throwing on water cooling.

nice test, i've used the "spreading a layer" method and moved on to the "whirlpool" method, still never had overheating issues, but now it seems that the pea method is more efficient. gonna try that.

This is how I do it.

lmfao poor abit board!

Well the first thing I'd do is clean the chip with TIM-Clean or IPA so it's perfectly clean.

Then I just put a small blob on the centre of the chip. The pressure of the heat sink should be enough to give it an even spread.

Some people use spreaders, but I don't.

This topic is now closed to further replies.
  • Recently Browsing   0 members

    • No registered users viewing this page.
  • Posts

    • I was expecting the end of the world to happen before this game or elder scroll 6 to come out.
    • OpenAI and Broadcom unveil Jalapeño, a new AI chip built for LLM inference by Pradeep Viswanathan Image by OpenAI Thanks to the exponential growth of ChatGPT and other LLM-based applications, NVIDIA has grown from a $200 billion company into the first public company to reach a $5 trillion market cap. Even though hyperscalers such as Google and Amazon have their own mature AI accelerators, NVIDIA still dominates the AI infrastructure market with multiple generations of GPUs. Microsoft, OpenAI, and Meta remain among NVIDIA’s largest customers, while Google and Amazon continue to be significant NVIDIA customers as they serve AI workloads for customers on their cloud platforms. Today, OpenAI and Broadcom announced Jalapeño, OpenAI’s first custom “Intelligence Processor” designed specifically for large language model inference. The new chip is the first product from a multi-generation compute platform being developed by OpenAI. OpenAI highlighted that Jalapeño was built from the ground up for current and future LLM workloads, rather than being a general-purpose accelerator adapted for AI. Despite heavy competition from Gemini, Claude, Copilot, and others, ChatGPT remains the most used AI platform in the world. OpenAI mentioned that it leveraged its knowledge of how its models and products run at scale, including ChatGPT, Codex, the API, and future agentic AI systems, to design this new chipset. Its chip architecture reduces data movement while balancing compute, memory, and networking resources. Jalapeño will be deployed in production systems starting in late 2026; however, engineering samples are already running machine learning workloads in OpenAI’s labs at production target frequency and power. According to its internal testing, OpenAI claims this chip can deliver “substantially better” performance per watt, and a detailed technical report is expected in the coming months. While OpenAI designed the chip, Broadcom handled silicon implementation and networking technologies, including Tomahawk networking silicon, and Celestica is assisting with board, rack, and system-level integration. OpenAI pointed out that Jalapeño went from initial design to manufacturing tape-out in just nine months, which it claims is the fastest ASIC development cycle achieved for a high-performance advanced semiconductor. The company attributed the speed of development to its own LLMs, which were used during the chip design and optimization process. Broadcom CEO Hock Tan stated that the company's plan is to deploy the Jalapeño platform at a gigawatt scale with Microsoft and other partners starting in 2026. With Jalapeño, OpenAI joins Google, Microsoft, and Amazon to become a full-stack AI player. The company already develops models and products, and is now moving deeper into infrastructure, including chips, kernels, networking, scheduling, and deployment systems.
    • I'm aware. That information should have been included in the article, making it more complete and information.
    • Converseen 0.15.2.5-2 by Razvan Serea Converseen is a free and open-source batch image converter and resizer. It supports over 100 formats, including DPX, EXR, GIF, JPEG, JPEG-2000, PNG, SVG, TIFF, WebP, HEIC/HEIF, and many others. Users can convert, resize, rotate, flip, and compress multiple images at once. It can also transform entire PDF documents into individual image files. Powered by the ImageMagick library, Converseen features a user-friendly interface and is available in both installer and portable versions. Here’s a list of all the features you can find in Converseen: Batch image conversion (supports 100+ formats) Resize images in bulk Rotate and flip images in bulk Compress images to reduce file size Convert entire PDF documents into image files Support for multiple image formats (JPEG, PNG, TIFF, PDF, BMP, GIF, and more) Customizable output settings (quality, resolution, etc.) Image effects and adjustments (such as brightness, contrast, etc.) Convert images to PDF User-friendly graphical interface Support for drag-and-drop functionality Extract an image from a Windows icon file (*ico) Supports adding watermark to images Portable and installer versions available Leverages ImageMagick for processing power Allows renaming of images in bulk Supports EXIF data editing (for JPEG images) Easy-to-use GUI for non-technical users Command-line support for advanced users Free and open-source software Cross-platform availability Available in multiple languages Download: Converseen 0.15.2.5-2 | Portable | 32-bit | ~40.0 MB (Open Source) View: Converseen Homepage | Screenshot Get alerted to all of our Software updates on Twitter at @NeowinSoftware
    • Regarding the AI photo, I LOVE AI in that regard, you ask it what you want and it gives you a lovey photo in under a minute, that would taken me an hour to make in photoshop and it wouldn't have looked nearly as good. 2 nights ago I spent a couple hours collaborating with AI.  I did not say write me an article. I would write one or 2  paragraphs, then I would ask it to clean it up so it read better but still keeps the information I was trying to convey.  Rinse repeat.  
  • Recent Achievements

    • First Post
      Tom Schmidt earned a badge
      First Post
    • One Month Later
      D0nn13 earned a badge
      One Month Later
    • Rookie
      +ChiefOfNeo went up a rank
      Rookie
    • One Year In
      Tom Schmidt earned a badge
      One Year In
    • One Month Later
      Tom Schmidt earned a badge
      One Month Later
  • Popular Contributors

    1. 1
      +primortal
      453
    2. 2
      +Edouard
      176
    3. 3
      PsYcHoKiLLa
      123
    4. 4
      Michael Scrip
      81
    5. 5
      Xenon
      75
  • Tell a friend

    Love Neowin? Tell a friend!