FedML announced the closure of $11.5 million in seed funding 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. The platform overcomes the barriers of high data, cloud infrastructure and engineering costs, and the need to keep proprietary data secure, by enabling companies and developers to work together on machine learning tasks by sharing data, models and compute resources. Bill Patterson, EVP and General Manager, Applications at Salesforce, believes that every enterprise can and should build their own custom AI models to solve their unique business problems.
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