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RTX 3090 Compute Unlock via Firmware

Someone exploited a GPU firmware flaw to unlock RTX 3090 limits, boosting PyTorch from 75 to 135 TFLOPS at 360W.

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Key points

  • Someone unlocked an RTX 3090 via a firmware exploit, raising PyTorch performance from 75 TFLOPS to 135 TFLOPS at the same 360W limit, an about 80% gain.
  • The unlock targets registers controlling compute speed by exploiting a GPU boot firmware vulnerability to gain write access before the NVIDIA driver loads, then running with the original driver.
  • The unlocked limits mainly cover FP16/BF16 input with FP32 accumulation AI operations.
  • A separate branch project did the same on the 4090, raising instruction throughput for similar operations from about 165 TFLOPS to 331 TFLOPS.

Key points and the reaction summary are written by AI from the posts on this page. Check the original post. How we use AI

Original post

铁锤人 @lxfater 108.5K followers

卧槽,3090要可能要涨价了!! 因为老黄的刀法被人破解了 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%! 你以为是超频,把功耗往上拉? 但他改的是显卡里控制运算速度的寄存器,这些寄存器平时有权限保护,正常改不了 他利用 GPU 启动固件的漏洞,赶在 NVIDIA 驱动加载之前拿到写入权限,把相关运算改成全速,再交给原版驱动使用 解开的主要是 FP16/BF16 输入、FP32 累加这类 AI 运算的速度限制 但测试算力多了 80%!! 4090 也有分支项目做到了:同类运算的指令吞吐,从约 165 TFLOPS 提升到 331 TFLOPS,接近翻倍 项目地址,附上👇 https://t.co/JYwB7z2PgP
3,957likes 351reposts 238replies 318.7Kviews

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Reaction on X: The original poster said it was tested on an RTX 4070 Ti SUPER with solid gains and may also help LLM prefill. Others joked about the 3090 being hunted on the second-hand market and wondered about GPU lifespan.

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From @lxfater, @DarkNoir2002, @lucataco and others. Spam removed, with English and Chinese translations.

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