DeepLM's technology addresses the challenge of unpredictable and inefficient GPU usage in modern Deep Learning & AI workflows
DeepLM's technology addresses the challenge of unpredictable and inefficient GPU usage in modern Deep Learning & AI workflows. Our platform is built on open-source software and helps companies manage and tune a heterogeneous mix of GPUs + CPUs. We've developed a learning-based resource allocation model to minimize resource idling and overcommitment. DeepLM drives down training and inference costs, accelerates time-to-insight, and makes scalable AI accessible to organizations of all sizes.
DeepLM's technology addresses the challenge of unpredictable and inefficient GPU usage in modern Deep Learning & AI workflows
DeepLM's technology addresses the challenge of unpredictable and inefficient GPU usage in modern Deep Learning & AI workflows. Our platform is built on open-source software and helps companies manage and tune a heterogeneous mix of GPUs + CPUs. We've developed a learning-based resource allocation model to minimize resource idling and overcommitment. DeepLM drives down training and inference costs, accelerates time-to-insight, and makes scalable AI accessible to organizations of all sizes.