Linux kernel modules lift Nvidia’s half-rate AI tensor limit on GeForce RTX 20, 30, and 40-series GPUs.
The limit lives in the tensor cores. When they multiply FP16 or BF16 numbers and add up the results in higher-precision FP32, GeForce cards issue those ...
NVIDIA's GeForce RTX 30-series and RTX 40-series graphics cards are based on the same dies as their professional-grade GPUs.
Modders have successfully unlocked the artificial compute limits placed upon consumer-oriented NVIDIA GeForce GPUs in order ...
A new open-source tool reportedly unlocks previously restricted Tensor Core performance on Nvidia's ageing RTX 30-series GPUs, delivering gains of up to 80% in certain compute benchmarks. The ...
The seller warned that the RTX 3090 might be missing its GPU and VRAM. The buyer discovered that the entire NVIDIA PCB had been replaced with part of a Radeon card.
NVIDIA RTX AI compute unlock now works on Windows: a free open-source tool removes the firmware cap halving Tensor Core AI throughput on consumer GeForce GPUs, doubling FP16 performance on RTX 4090 ...
The Nvidia RTX 30 GPU unlock mod raises RTX 3090 BF16 throughput to 129.6 TFLOPS, but gaming gains stay unproven.
The open-source "GPU Unlock" developed by GitHub user Zagitta removes the Tensor Core restrictions placed on NVIDIA's ...
An open-source project called GPU Unlock removes a software throttle on FP16 and BF16 Tensor Core operations in Nvidia's Ampere-based GeForce ...
Modders have discovered a way to unlock previously restricted AI processing performance on Nvidia's GeForce RTX 20, 30, and ...
Modders unlock FP16 and BF16 limits on NVIDIA GeForce RTX 20, 30 and 40 series GPUs, while real-world AI workload gains range ...