TensorFlow 2.0 Tutorial 02: Transfer Learning
This tutorial shows you how to perform transfer learning using TensorFlow 2.0. We will cover:
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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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A Gentle Introduction to Multi GPU and Multi Node Distributed Training
This presentation is a high-level overview of the different types of training regimes that you'll encounter as you move from single GPU to multi GPU to multi ...
Titan V Deep Learning Benchmarks with TensorFlow
In this post, Lambda Labs benchmarks the Titan V's Deep Learning / Machine Learning performance and compares it to other commonly used GPUs. We use the Titan V ...
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