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All You Need Is One GPU: Inference Benchmark for Stable Diffusion
UPDATE 2022-Oct-13 (Turning off autocast for FP16 speeding inference up by 25%) What do I need for running the state-of-the-art text to image model? Can a ...
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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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NVIDIA H100 Tensor Core GPU - Deep Learning Performance Analysis
We have seen groundbreaking progress in machine learning over the last couple of years. At the same time, massive usage of GPU infrastructure has become key to ...
How to fine tune stable diffusion: how we made the text-to-pokemon model at Lambda
Stable Diffusion is great at many things, but not great at everything, and getting results in a particular style or appearance often involves a lot of work ...
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