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Developer tools · #kaggle
Learn how to install the Kaggle API, download competition data, and submit predictions from the command line with a worked example and common pitfalls.
Learn how to choose between CPU, GPU, and TPU in Kaggle Notebooks to optimize training speed and manage your weekly hardware quotas effectively.
Learn how to leverage Kaggle’s GPU acceleration, mount large datasets, checkpoint long training jobs, and persist model artifacts—all while staying within session limits and avoiding common pitfalls.
Learn how to correctly enable and implement GPU acceleration in Kaggle Notebooks, including PyTorch device mapping and managing VRAM quotas.
pytorch