AIMBEAST Neural Net for Warface: Private Software

RTX 50-series cards (5060, 5060 Ti, 5070, and others) aren't yet supported by the current build of the neural net — on launch the loader throws a CUDA architecture (sm_120) compatibility error against the installed PyTorch version.

This is a limitation of the software itself, not your system setup: reinstalling your GPU drivers or re-downloading the loader won't fix it. Contact support with your card model — they can confirm the current support status or suggest an alternative.

This error means the current build doesn't yet support the architecture of the newest graphics cards (RTX 50 series and up). It's not a defective copy — the developer just needs time to update the software for the new generation of cards.

• Contact support to check whether an updated build is already available.
• If not yet, running the software on another PC with an older card is a workaround in the meantime.
• Rolling your graphics driver back to an earlier version sometimes clears the error too.

This happens when an earlier, now-expired key was already activated: the software keeps remembering that old activation even if you delete and reinstall the program itself — reinstalling alone usually doesn't fix it, since activation data is stored separately.

Contact support with your new key — the operator can reset the old activation on their end or tell you which local file needs to be removed so the new key can be entered.

If the console shows errors or the program closes immediately after launch, try the following steps:

• Disable Hyper-V: open CMD as Administrator and run bcdedit /set hypervisorlaunchtype off, then reboot.
• Make sure the cheat folder name matches exactly what is specified in the manual (e.g. aimbeast V2 , no extra characters or version suffixes). A folder name mismatch is a common cause of crashes.
• Install the latest DirectX and Visual C++ Redistributable runtimes (links are provided in the product instructions).

If the old key has expired but after buying a new one the app immediately shows the same expiration error and won't let you enter it — the old license got cached locally. Simply deleting or re-downloading the loader won't fix this.

• Delete the license file from the neural net's folder, if one is there.
• Clear the local NVIDIA driver cache (the DirectX cache folder inside your AppData folder), then empty the recycle bin.
• Relaunch the neural net and enter the new key.

If that doesn't help, contact support with your order number.

This is caused by non-default Windows display scaling. Go to Settings → System → Display and set the scale to 100%. Restart the neural net , the crosshair will align correctly.

No, a DMA card isn't required — the neural net launches and runs on a regular PC without extra hardware.

A DMA setup (a capture card plus a second PC) can be added on top for extra stealth, but that's a separate optional configuration, not a requirement to launch or use it.

This product supports Nvidia GPUs only. AMD graphics cards (RX series and others) are not compatible , the neural net will not function correctly. If you have an AMD GPU, contact the seller's chat to request a refund.

This product does not have a traditional settings menu , it is a neural network that operates automatically without manual configuration. Controls are limited to the tray icon. Advanced options are available in the local web interface, accessible via the localhost address described in the product manual.

The software is built for NVIDIA graphics cards — AMD and Intel cards aren't supported, and trying to install the program's driver on them can seriously slow down your whole PC. Older or low-end NVIDIA cards (GTX 750 Ti, GTX 1060 class) also aren't powerful enough to handle the detection workload.

Before buying, check with support whether your specific graphics card is powerful enough for the current version.

The neural net requires a sufficiently powerful Nvidia GPU. Cards at the GTX 1050 Ti level or below typically cannot provide the required performance , the neural net FPS drops to 10 or lower, and the aim fails to track targets. Before purchasing, ensure your GPU is GTX 1660 or higher (or any RTX card).

The «Payment pending» status updates once the payment provider confirms the transaction. This usually takes a few minutes. Wait 5,10 minutes and refresh the page , access will be activated automatically.

This error means the app can't verify the certificate when reaching the activation server — usually caused by GitHub being blocked or unstable from your region.

Try connecting through a VPN and entering the key again — in most cases this clears the error.

This means your computer can't reach the activation server — usually because of an ISP block or regional restriction, not a problem with the key itself.

Turn on a VPN and try activating again.