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Explore Your GPU Is Nerfed for Local AI (NVIDIA's Hidden Limit) with 130,921 views, 1,992 likes, and 334 comments. Experience the impact of this video content that has captured audience attention.

Your RTX 3090 or RTX 4090 runs one kind of AI math at half speed, and NVIDIA prints it in its own whitepaper. The free gpu-unlock tool removes the limit, but whether your local LLM gets faster depends on one thing: which lane your software runs in. The RTX 4090's box says 1,321 AI TOPS. The 16-bit math with a 32-bit running total that AI software actually uses (BF16 and FP16 with FP32 accumulate) runs at 165. Three halvings sit between those numbers: sparsity, 16-bit inputs, and the GeForce lock. Only the last one is a limit NVIDIA chose. The RTX 3090 does 71 teraflops in that mode, while the RTX A6000, on the same GA102 chip, does 154.8. On October 18th, Zagitta released gpu-unlock, a free Linux kernel module that sets the card back to full rate before NVIDIA's driver loads. Nothing is flashed, and the driver is untouched. It now covers the RTX 30 series and the RTX 40 series (gpu-unlock-ada), plus the RTX 2080 Ti. In raw benchmarks, an RTX 3090 Ti went from 87.5 to 157.4 teraflops of BF16. Real-world gains are smaller, and this video measures where they land: - Ollama, LM Studio and llama.cpp with GGUF models: almost no change, because quantized GGUF runs on integer math that was never locked. The exception is FlashAttention at long context: +3% empty, +10% at 32K tokens, +17% at 100K. - 16-bit work (vLLM, image and video generation in ComfyUI and similar tools, fine-tuning and LoRA training): this is where the unlock pays. vLLM prefill got 25 to 50% faster, a 3060 image dropped from 18.09 to 11.01 seconds, and a 3090 video render went from 4:39 to 3:31. - Tokens per second while the model writes: flat (112.98 to 114.24 tok/s on a 3090), because writing speed is set by GPU memory bandwidth (936 GB/s on a 3090), and the unlock adds none. - A 96,000-token prompt on one RTX 3090 (vLLM, Qwen 3.8 27B, MTP speculative decoding): 105.7 to 71.4 seconds before the first word. - The free fix most people miss: a 3090 capped at 200 W wrote 50 tok/s at 3.97 J per token, against 76.4 tok/s at 3.15 J at 250 W. Also covered: what the unlock costs you (Secure Boot off, an unsigned module exploiting NVIDIA's own firmware, the Windows UEFI version), why the RTX 5090 has the same halving but no fix, and why gaming FPS, DLSS and VRAM don't change. CHAPTERS 0:00 Paid for 1,321 TOPS, got 165 1:57 Where the box number comes from 2:32 Three halvings: sparsity, BF16, the lock 4:23 It's in NVIDIA's own whitepaper 5:30 Why NVIDIA locked it 6:02 gpu-unlock: a free Linux module 7:25 "Your card doubled" vs real benchmarks 7:57 Clocks drop, efficiency rises 9:57 Tokens per second: why writing speed won't move 12:03 Lane 1: Ollama, LM Studio, llama.cpp (GGUF) 13:17 Lane 2: vLLM, image, video, fine-tuning 13:59 FlashAttention at long context 14:51 A 96,000-token prompt, timed 16:41 Your power limit is slowing you down 18:32 The real cost: Secure Boot and firmware 21:00 Who this helps, and who it doesn't 22:40 RTX 50 series: same lock, no fix 23:16 Read the lane before the headline SOURCES NVIDIA Ampere GA102 whitepaper (Table 3: RTX A6000; Table 9: RTX 3090 vs TITAN RTX): https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf NVIDIA Ada GPU Architecture whitepaper v2.02, Appendix A (RTX 4090): https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf NVIDIA RTX Blackwell whitepaper, Appendix A (RTX 5090): https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf gpu-unlock (README, issues #25, #107, #158): https://github.com/Zagitta/gpu-unlock gpu-unlock-ada (RTX 40 series): https://github.com/JustAResearcher/gpu-unlock-ada turing-unlock (RTX 2080 Ti): https://github.com/nlzy/turing-unlock gpu-unlock-blackwell (RTX 5090 research): https://github.com/phiraml/gpu-unlock-blackwell Windows-GPU-UNLOCK: https://github.com/impacifist/Windows-GPU-UNLOCK Tom's Hardware, Oct 26 2026: https://www.tomshardware.com/pc-components/gpus/nvidia-rtx-20-30-and-40-series-gpus-hacked-to-remove-a-half-speed-ai-throttle-firmware-exploit-doubles-rtx-4090s-peak-tensor-rate-lifts-rtx-3090-ti-matrix-math-up-to-80-percent coderredlab, image and video timings: https://x.com/i/status/2114573955591757836 The unlock is unofficial and experimental, and it exploits NVIDIA firmware. Nothing in this video is a recommendation to install it. #LocalAI #RTX3090 #GPUUnlock

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