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kaitlynn
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Sunday 01 November 2026 17:48:48 GMT
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#fyp
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part 2 #police #cops #bodycam #copsoftiktok #policeofficer #policeoftiktok #usa #foryou
part 2 #police #cops #bodycam #copsoftiktok #policeofficer #policeoftiktok #usa #foryou
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Happy Halloween #jackskellington #sally #nightmarebeforechristmas #fyp #edit
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Nvidia locked away half the AI power of your RTX card. And someone just found the key 🔓 🧠 GeForce RTX 30 (Ampere) tensor cores run FP16/BF16 math with FP32 accumulate at roughly half the rate of Nvidia's pro cards on the same chip, per the developer. 🐧 GPU Unlock (open source, by Zagitta, Oct 2026): a Linux kernel module that loads before Nvidia's driver, rewrites the registers that set that issue rate, resets the GPU and hands it to the stock driver. No VBIOS flash, no patched driver. 📈 RTX 3090 Ti, BF16: 87.5 → 157.4 TFLOPS (≈ +80%). Real AI image generation: ≈ +50–60%. LLM prompt prefill +14–36%, token generation unchanged (memory-bound). 🃏 Cards: GPU Unlock is built for RTX 30 (GA102/GA103/GA104/GA106). RTX 40: community fork gpu-unlock-ada, RTX 4090 FP16/BF16 tensor rate 165.6 → 331.6 TFLOPS (2×, register-level; real cuBLAS GEMM +12–34%), experimental on 4070 Ti SUPER and 4060 Ti 16GB. RTX 20: fork turing-unlock (nlzy), RTX 2080 Ti FP16 cuBLAS 53.7 → 81.7 TFLOPS (≈ +50%), tested on one card. All early, self-reported tests. ⚠️ Linux only, experimental: a failed early reset can leave the PC unbootable until the module is removed. No verified gains in games. No statement from Nvidia. So be honest: would you unlock your GPU? Comment below 👇 Follow @electronics.peter + @dans.tronics for more! #nvidia #rtx4090 #rtx3090 #gpu #ai
Nvidia locked away half the AI power of your RTX card. And someone just found the key 🔓 🧠 GeForce RTX 30 (Ampere) tensor cores run FP16/BF16 math with FP32 accumulate at roughly half the rate of Nvidia's pro cards on the same chip, per the developer. 🐧 GPU Unlock (open source, by Zagitta, Oct 2026): a Linux kernel module that loads before Nvidia's driver, rewrites the registers that set that issue rate, resets the GPU and hands it to the stock driver. No VBIOS flash, no patched driver. 📈 RTX 3090 Ti, BF16: 87.5 → 157.4 TFLOPS (≈ +80%). Real AI image generation: ≈ +50–60%. LLM prompt prefill +14–36%, token generation unchanged (memory-bound). 🃏 Cards: GPU Unlock is built for RTX 30 (GA102/GA103/GA104/GA106). RTX 40: community fork gpu-unlock-ada, RTX 4090 FP16/BF16 tensor rate 165.6 → 331.6 TFLOPS (2×, register-level; real cuBLAS GEMM +12–34%), experimental on 4070 Ti SUPER and 4060 Ti 16GB. RTX 20: fork turing-unlock (nlzy), RTX 2080 Ti FP16 cuBLAS 53.7 → 81.7 TFLOPS (≈ +50%), tested on one card. All early, self-reported tests. ⚠️ Linux only, experimental: a failed early reset can leave the PC unbootable until the module is removed. No verified gains in games. No statement from Nvidia. So be honest: would you unlock your GPU? Comment below 👇 Follow @electronics.peter + @dans.tronics for more! #nvidia #rtx4090 #rtx3090 #gpu #ai

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