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Archive: https://archive.today/cvmZ1

From the post: "Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity to train, fine-tune, experiment, and inference these ML models has outpaced industry-wide supply, making GPUs a scarce resource. Access to GPU capacity is an obstacle for customers whose capacity needs fluctuate depending on the research and development phase they’re in."

Archive: https://archive.today/cvmZ1 From the post: "Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity to train, fine-tune, experiment, and inference these ML models has outpaced industry-wide supply, making GPUs a scarce resource. Access to GPU capacity is an obstacle for customers whose capacity needs fluctuate depending on the research and development phase they’re in."

(post is archived)