Okteto AI provides powerful GPU support capabilities for AI model training, and can dynamically allocate GPU resources based on demand. After the developer specifies the GPU requirements in the okteto.yml configuration file, the developer can run the 'okteto deploy' command to get the required compute resources.
This feature is particularly suitable for training large AI models, such as Transformer and other model architectures that require large amounts of computing resources. The platform automatically allocates the optimal GPU configuration according to the task requirements, ensuring an efficient and stable model training process.
Unlike the traditional way of allocating GPU resources in a fixed manner, Okteto AI's on-demand allocation mechanism helps teams optimize resource utilization and reduce costs. After the training task is completed, GPU resources are automatically released, avoiding wasted resources. This intelligent resource management allows teams to focus on model development itself without worrying about underlying infrastructure issues.
This answer comes from the articleOkteto AI: A Cloud Development Platform for Running Trusted AI AgentsThe
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