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IBM is working to make AI model training faster and more efficient with its Blue Vela supercomputer. The system can handle multiple tasks simultaneously, such as training, testing, and running models. IBM achieved impressive speed in testing Meta's largest Llama model, loading saved progress in 23 seconds and saving it in 37 seconds. The company's newest AI system, built with CoreWeave and NVIDIA's platform, trained a large Llama model in under 28 minutes. Analysts have a Moderate Buy consensus rating on IBM stock with an average price target of $297.33 per share.
IBM is making significant strides in AI model training efficiency with its Blue Vela supercomputer. This advanced system is designed to handle multiple AI workloads concurrently, including training, testing, and running models. The Blue Vela supercomputer, built in partnership with NVIDIA and Dell, is particularly notable for its ability to streamline various aspects of the training process, including pre-training, fine-tuning, evaluation, and inference tasks [1].
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