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FedML recently closed $11.5 million in seed funding to expand development and adoption for its distributed MLOps platform, which helps companies efficiently train and serve custom generative AI and large language models using proprietary data while reducing costs through decentralized GPU cloud resources shared by the community. This platform overcomes the prohibitively high costs of custom AI models by enabling companies and developers to work together on machine learning tasks by sharing data, models and compute resources. FedML also has a powerful MLOps platform and a distributed and federated training/serving library for models in any distributed settings.
