Crowd Sourced Deep Learning GPU Benchmarks from the Community
We open sourced the benchmarking code we use at Lambda Labs so that anybody can reproduce the benchmarks that we publish or run their own. We encourage people ...
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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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Deep Learning GPU Benchmarks - V100 vs 2080 Ti vs 1080 Ti vs Titan V
At Lambda, we're often asked "what's the best GPU for deep learning?" In this post and accompanying white paper, we evaluate the NVIDIA RTX 2080 Ti, RTX 2080, ...
Image Segmentation
SegNet. Image source: https://mi.eng.cam.ac.uk/projects/segnet/ The problem Image segmentation is the problem of assigning each pixel in an image a class ...
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