[ad_1] Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or…
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[ad_1] Foundation model (FM) training and inference has led to a significant increase in computational needs across the industry. These models require massive amounts…
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[ad_1] This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of…
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[ad_1] Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance for specific use…
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