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GPU Acceleration Significantly Improves Generation Efficiency of Presenton's Large Models

2025-08-19 286

Presenton provides GPU acceleration support for scenarios that require high-performance computation, especially when running local models with large parameter sizes such as llama3.2. By integrating NVIDIA Container Toolkit, the parallel computing power of the graphics card can be fully utilized to increase the generation speed by 2-3 times.

To realize this feature, three conditions need to be met: a hardware environment with an NVIDIA graphics card, a properly installed GPU driver, and the addition of the -gpus=all parameter at runtime. This optimization makes it possible to run models with more than 7B parameters locally for slide generation, which significantly reduces the waiting time for users.

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