An $8 fee allowed you to turn an Nvidia graphics card with 8 GB of available memory into an A100-level accelerator with 80 GB of memory. Both cards are based on the GA100 graphics processor. Nvidia disable some of its computing units and memory using electronic combinations eFuse. In CMP 170HX, a significant part of the resources are not available, although physical memory is present on the board. The girl managed to first remove the power limitations from the processor - and then, using a separate board, unlock hidden resources. As a result, nine test cards got access to all 80 GB of memory, another - to 64 GB. The cancellation of the computing units provided about 20% higher performance in FP16 operations compared to the A100 standard. One of the cards also managed to restore support for PCIe 4.0, NVLink and Multi-Instance GPU.

An $8 fee allowed you to turn an Nvidia graphics card with 8 GB of available memory into an A100-level accelerator with 80 GB of memory. Both cards are based on the GA100 graphics processor. Nvidia disable some of its computing units and memory using electronic combinations eFuse. In CMP 170HX, a significant part of the resources are not available, although physical memory is present on the board. The girl managed to first remove the power limitations from the processor - and then, using a separate board, unlock hidden resources. As a result, nine test cards got access to all 80 GB of memory, another - to 64 GB. The cancellation of the computing units provided about 20% higher performance in FP16 operations compared to the A100 standard. One of the cards also managed to restore support for PCIe 4.0, NVLink and Multi-Instance GPU.