Allocate More RAM to Your Integrated GPU for Local AI Tasks
Hey tech enthusiasts! Welcome back to Technical Kachhua. In 2026, running AI models right on your PC (we call it “local AI”) is becoming very popular. You might be playing with Stable Diffusion for image generation, or trying out some large language models (LLMs) offline. The problem? Many of us have integrated graphics, not a big, powerful dedicated GPU.
If you have an Intel “Iris Xe” or an AMD “Radeon Graphics” built into your processor, you might notice that local AI tasks run very slowly, or they dont even start. This is because your integrated GPU (iGPU) shares your main system RAM, and by default, Windows doesn’t give it much.
But dont worry! Today, I am going to show you a simple, yet very effective trick to allocate more RAM directly to your integrated GPU. This will give it more “VRAM” (Video RAM) and significantly speed up your local AI tasks and even some gaming.
Why Does My Integrated GPU Need More RAM?
Think of it like this: your integrated GPU is very thirsty for memory, especially when doing complex AI calculations or rendering graphics.
AI Models: AI models like Stable Diffusion need a lot of video memory to process images and generate new ones. If your iGPU has only 512MB or 1GB of VRAM (which is common by default), it quickly runs out of space.
Performance: With more allocated RAM, your iGPU can handle larger datasets and more complex operations much faster. This means less “out of memory” errors and quicker results for your AI projects.
This guide is for Windows 11 and 12 users with Intel or AMD integrated graphics.
Method 1: Increase VRAM via BIOS (The Most Effective Way)
This is the most powerful method because it directly tells your computer’s hardware how much RAM to reserve for the iGPU from the start.
Step-by-Step Guide:
Restart your PC: As soon as your PC starts to boot, repeatedly press the BIOS key. This is usually
F2,Del,F10,F12, orEscdepending on your laptop or motherboard brand (check your PC manual or search online for “BIOS key for [Your PC Model]”).Navigate to Graphics Settings: Once you are in the BIOS, it might look a bit different on various PCs. Look for sections like:
AdvancedChipset ConfigurationGraphics SettingsIntegrated Peripherals
Find VRAM/UMA Frame Buffer: Inside the graphics settings, you need to find an option related to
UMA Frame Buffer Size,Shared Memory,Graphics Memory Allocation, oriGPU Memory.Allocate More RAM: This option will usually be set to
Auto,128MB,256MB, or512MBby default. Change it to a higher value like1GB(1024MB),2GB(2048MB), or even4GB(4096MB) if your system has enough total RAM (e.g., 16GB or 32GB).Pro Tip: Do not allocate more than half of your total system RAM. For example, if you have 8GB RAM, do not allocate more than 4GB to your iGPU.
Save and Exit: After making the change, make sure to Save Changes and Exit from the BIOS. Your PC will restart.
Once your PC boots up, your integrated GPU will now have dedicated VRAM, leading to a noticeable performance boost for AI tasks.
Method 2: Adjusting via Windows Registry (Less Common, But Possible)
This method is not always effective for increasing the actual allocated VRAM, but it can sometimes trick older applications into thinking more VRAM is available. This is more of a “last resort” or for older systems.
Steps:
Press
Win + R, typeregedit, and hit Enter to open the Registry Editor.Navigate to:
HKEY_LOCAL_MACHINE\SOFTWARE\Intel\GMM(For Intel) or a similar path for AMD.Right-click on the right pane, select
New>DWORD (32-bit) Value.Name it
DedicatedSegmentSize.Double-click it, select
Decimal, and enter a value in MB (e.g.,512for 512MB,1024for 1GB).Restart your PC.
Warning: Be very careful with Registry Editor. Incorrect changes can harm your system.
How to Check if VRAM is Increased?
After making changes, you need to confirm if it actually worked.
Right-click on your Desktop and select Display settings.
Scroll down and click on Advanced display settings.
Here, you will see Display adapter properties for Display 1. Click on it.
A new window will open. Look for “Dedicated Video Memory.” This is your VRAM. It should now show the increased value you set in the BIOS.
You can also check Task Manager: Go to the Performance tab, click on GPU 0 (your integrated GPU), and you will see “Dedicated GPU memory” and “Shared GPU memory.”
Important Considerations:
Total RAM: If you have only 8GB of RAM, allocating 4GB to the iGPU will leave only 4GB for your operating system and other apps. This can make your system slower overall. Ideally, you should have 16GB or 32GB RAM to safely allocate more VRAM to the iGPU.
BIOS Updates: Keep your BIOS updated. Newer BIOS versions often have better options for graphics memory allocation.
Integrated vs. Dedicated: Remember, an integrated GPU will never be as powerful as a dedicated graphics card (like an NVIDIA RTX or AMD RX series). This trick helps, but it won’t magically turn your laptop into a gaming beast or an AI supercomputer.
Conclusion
Allocating more RAM to your integrated GPU is a fantastic way to squeeze extra performance out of your system, especially for those challenging local AI tasks. It gives your iGPU the breathing room it needs to process complex models and render graphics more efficiently.
I hope this detailed guide from Technical Kachhua helps you optimize your PC for the AI-powered future. If you found this useful, do share it with your techie friends! And if you face any problems during the BIOS settings, feel free to drop a comment below. I’m always here to help.
Thanks for reading, and happy AI-ing!
