NVIDIA Hopper: H100 and FP8 Support
With the release of the NVIDIA H100 Tensor Core GPU, one of the most exciting features is the native support for FP8 data types. Compared to 16-bit ...
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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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Hugging Face x Lambda: Whisper Fine-Tuning Event
Lambda is thrilled to team up with Hugging Face, a community platform that enables users to build, train, and deploy ML models based on open source code, for a ...
How To Fine Tune Stable Diffusion: Naruto Character Edition
Fine tuning is the common practice of taking a model which has been trained on a wide and diverse dataset, and then training it a bit more on the dataset you ...
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