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Early Indicators of Success at NVIDIA
NVIDIA's product teams have used early indicators of success by focusing on the importance of work rather than financial returns. The company takes on projects that advance scientific fields significantly, even if there are no immediate financial gains. The key question asked is whether the work is important and if it would happen without NVIDIA. The company aims to be 'lazy' in doing tasks that others can do, prioritizing projects where their unique contribution is vital. The success of projects like Deep Learning at NVIDIA was initially indicated by the creation of KuDNN, a domain-specific language for neural network computing, and the detection of cats in images, leading the team to believe their work could revolutionize the field.