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Open-Source Projects Unlock AI Performance on Nvidia RTX 20, 30, and 40 GPUs

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Open-source projects have expanded a performance exploit that removes AI computation caps on Nvidia's RTX 20, 30, and 40 series graphics cards by bypassing Tensor Core hardware limits without flashing the BIOS or modifying official drivers. The unlock enables some models, including the RTX 2080 Ti, to nearly double their FP16 operation throughput, with the RTX 4090's compute performance rising from 165.6 to 331.6 TFLOPS and the RTX 3090 Ti's BF16 performance increasing from 87.5 to 157.4 TFLOPS. Previously limited to Linux environments requiring the disabling of Secure Boot, the projects have since been reproduced on Windows 11.

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Key sources

  1. SUPPORT@lxfater“有人给3090解了个锁,同样限制在 360W,PyTorch 测试从 75 TFLOPS 跑到了 135 TFLOPS,提升约 80%!”x.com
  2. SOURCE@maxforai“目前社区已经公布了多个型号的测试结果: 🔹 RTX 4090:165.6 → 331.6 TFLOPS,直接翻倍!”x.com
  3. SUPPORT@yacinemtb“Lmfao time to get free increase of experiments on my home server 4090s who are constantly rendering and training models”x.com
  4. SOURCEhuggingnewshuggingnews.com
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