Reproduce Fast.ai/DIUx imagenet18 with a Titan RTX server
Last, tyear, Fast.ai won the first ImageNet training cost challenge as part of the DAWN benchmark. Their customized ResNet50 takes 3.27 hours to reach 93% ...
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Introducing NVIDIA SHARP on Lambda 1CC: Next-Gen Performance for Distributed AI Workloads
Lambda’s 1-Click Clusters(1CC) provide AI teams with streamlined access to scalable, multi-node GPU clusters, cutting through the complexity of distributed infrastructure. Now, we're pushing the envelope further by integrating NVIDIA's Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) into our multi-tenant 1CC environments. This technology reduces communication latency and improves bandwidth efficiency, directly accelerating training speed of distributed AI workloads.
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ResNet9: train to 94% CIFAR10 accuracy in 100 seconds with a single Turing GPU
DAWNBench recently updated its leaderboard. Among the impressive entries from top-class research institutes and AI Startups, perhaps the biggest leap was ...
Tips for implementing SSD Object Detection (with TensorFlow code)
Object Detection using Single Shot MultiBox Detector The problem The task of object detection is to identify "what" objects are inside of an image and "where" ...
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