NVIDIA's Consumer GPUs Run AI at Half Speed—And an Open-Source Unlock Tool Reveals It

NVIDIA's consumer GeForce RTX graphics cards have been artificially limited to half tensor-core performance for AI workloads, a deliberate artificial constraint that the same silicon achieves at full speed when sold as a professional RTX A-series or datacenter card. An open-source Linux kernel module called gpu-unlock, released by developer Zagitta, removes that firmware cap and can double peak tensor throughput for the RTX 20, 30, and 40 series without patching drivers or flashing BIOS.