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November 2020
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Building and Deploying a Face Mask Detection Application Using NGC Collections
AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software building blocks, such as models and containers, that are not only secure and highly performant, but which have […]
Accelerating AI Training with NVIDIA TF32 Tensor Cores
NVIDIA Ampere GPU architecture introduced the third generation of Tensor Cores, with the new TensorFloat32 (TF32) mode for accelerating FP32 convolutions and matrix multiplications. TF32 mode is the default option for AI training with 32-bit variables on Ampere GPU architecture. It brings Tensor Core acceleration to single-precision DL workloads, without needing any changes to model […]
Analysis-Driven Optimization: Finishing the Analysis with NVIDIA Nsight Compute, Part 3
In part 1, I introduced the code for profiling, covered the basic ideas of analysis-driven optimization (ADO), and got you started with the NVIDIA Nsight Compute profiler. In part 2, you began the iterative optimization process. In this post, you finish the analysis and optimization process, determine whether you have reached a reasonable stopping point, […]
Analysis-Driven Optimization: Analyzing and Improving Performance with NVIDIA Nsight Compute, Part 2
In part 1, I introduced the code for profiling, covered the basic ideas of analysis-driven optimization (ADO), and got you started with the Nsight Compute profiler. In part 2, you apply what you learned to improve the performance of the code and then continue the analysis and optimization process. Refactoring To refactor the code based […]
