GPU
27 bites tagged GPU — interview questions with model answers, and 60-second explainers.
Mixed-Precision Training: Faster Training with Less Memory
Mixed-precision training is like using rough estimates (FP16) for most math and a calculator (FP32) for critical steps. This speeds up deep learning on GPUs by cutting memory use, but naively switching can cause training to fail as small gradients vanish.
TensorRT: From Trained Model to Production Speed
TensorRT is a compiler that turns a trained model into a specialized, high-speed engine for a specific NVIDIA GPU. It's used to deploy models in production where low latency is critical.
Android Overdraw: Stop Painting Pixels Twice
Overdraw is wasted GPU work, painting the same pixel multiple times in one frame. It causes UI stutter and drains battery. Fix it by removing unneeded backgrounds and flattening your UI layouts.
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