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GeForce RTX 30 Series

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Headlines · 3

  1. NV UEFI Unlocker Opens RTX Tensor Core Throughput in Early Tests

    Wccftech reports that the open-source NV UEFI Unlocker can expose previously restricted Tensor Core compute performance on NVIDIA GeForce RTX 20-, 30-, and 40-Series GPUs across UEFI-bootable systems, including Windows. Developed by GitHub user physicsdolphin, it applies temporary changes before the graphics driver loads without permanently flashing VBIOS or patching drivers. Early, hardware-specific tests reported an RTX 2070 rising from 36 to approximately 60–63 TFLOPS in FP32-accumulation matrix multiplication and an RTX 4060 Laptop GPU improving from 29.89 to 49.33 TFLOPS in FP16 compute.

    Wccftech · 🔥 11
  2. Firmware unlocks target FP32 accumulation on older NVIDIA GPUs

    A Reddit user’s technical report says firmware-based unlocks can restore full tensor-core speed with FP32 accumulation on NVIDIA’s Turing, Ampere and Ada GPUs, while consumer Blackwell remains restricted. The author attributes the difference to factory fuse settings and a privileged override register, but the supplied evidence contains no independent hardware verification or NVIDIA statement confirming the mechanism or alleged intent.

    r/LocalLLaMA · 🔥 0
  3. Community post alleges FP32-accumulation limits on consumer RTX GPUs

    A Reddit author claims NVIDIA deliberately halves the performance of some tensor operations using FP32 accumulation on consumer RTX 20-, 30-, 40- and 50-series GPUs to differentiate them from professional and datacenter products. The author says the affected precisions vary by generation, with FP4 reportedly unaffected on RTX 50-series. They identify LoRA training, fine-tuning, diffusion tasks and LLM prefill as affected, along with text generation at large batch sizes. The post also describes proposed unlock methods and rates their feasibility as higher for RTX 20 and 30 series, relatively high for RTX 40 series and low for RTX 50 series.

    r/LocalLLaMA · 🔥 0

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