YaFSDP is an open-source tool that promises to revolutionize LLM training.
Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced these challenges become. Recently, Yandex has introduced a new solution: YaFSDP, an open-source tool that promises to revolutionize LLM training by significantly reducing GPU resource consumption and training time.
Recently, Yandex has introduced a new solution: YaFSDP , an open-source tool that promises to revolutionize LLM training by significantly reducing GPU resource consumption and training time. In a pre-training scenario involving a model with 70 billion parameters, using YaFSDP can save the resources of approximately 150 GPUs. This translates to potential monthly savings of roughly $0.5 to $1.5 million, depending on the virtual GPU provider or platform.
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