aws

AWS EC2 GPU token limit exceeded during language model evaluation

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Problem — Token‑limit failures during language‑model evaluation on AWS EC2 GPU instances When running a Hugging Face transformers evaluation pipeline on an EC2 GPU instance (e.g., p3.2xlarge, g5.12xlarge), the script aborts with errors such as: ValueError: Token indices sequence length is longer than the model maximum sequence length (max_length=2048). or RuntimeError: CUDA out of memory. Tried to allocate 12.3 GiB … Read more

Multimodal input misalignment after deploying to AWS EC2 from on-prem

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Problem Description A multimodal model (text + image) that runs flawlessly on an on‑premises GPU server produces misaligned predictions after being deployed to an AWS EC2 GPU‑optimized instance (e.g., p3.2xlarge or g4dn.xlarge). Typical symptoms observed in the logs are: RuntimeError: size mismatch, tensor A has 768 elements but tensor B has 1024 elements ValueError: Expected input batch … Read more