CUDA-Z 0.10.251 / 0.11.259 Beta Crack With Serial Number
CUDA-Z is a lightweight and portable software tool that lets you examine technical information which revolves around your computer's hardware configuration when it comes to CUDA-enabled GPUs and GPGPUs. It clearly addressed advanced PC users.
Since installation is not a prerequisite, you can drop the executable file in any part of the hard disk and just click it to launch the app. There is also the possibility to save CUDA-Z to a USB flash drive or similar storage unit, in order to run it on any PC with minimum effort and no previous installers.
Download CUDA-Z Crack
| Software developer |
Andriy Golovnya
|
| Grade |
4.5
784
4.5
|
| Downloads count | 14412 |
| File size | < 1 MB |
| Systems | Windows 7, Windows 7 64 bit, Windows 8, Windows 8 64 bit, Windows 10, Windows 10 64 bit |
Worth mentioning is that the tool does not modify Windows registry entries or create extra files on the disk without your permission, thus leaving no traces behind after its removal.
The GUI is user-friendly, based on a single window split into multiple tabs that show data related to the core, memory and performance, respectively. It is possible to select the graphics card from a list if there are multiple ones installed in the computer unit, and view details such as clock rate, PCI location, multiprocessors, threads per multiprocessor, threads per block, grid dimensions and stream priorities.
When it comes to the memory, CUDA-Z Serial shows the bus width, clock rate, error correction mode, L2 cache size, texture alignment, GPU overlap mode and others, while performance details focus on the pinned and pageable host to device and device to host, single- and double-precision float, and so on. Results are automatically updated in the background but this feature can be disabled. Information can be exported to TXT or HTML format for further examination.
There were no type of issues in our tests, since the app did not hang, crash or pop up error messages. It has a good refresh rate and runs on low CPU and RAM, so it does not hog system resources. All in all, CUDA-Z gets the job done and can be easily figured out.