Scaling machine learning inference with NVIDIA TensorRT and Google Dataflow

A collaboration between Google Cloud and NVIDIA has enabled Apache Beam users to maximize the performance of ML models within their data processing pipelines, using NVIDIA TensorRTand NVIDIA GPUs alongside the new Apache Beam TensorRTEngineHandler.  The NVIDIA TensorRT SDK provides high-performance, neural network inference that lets developers optimize and deploy trained ML models on NVIDIA …

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Supersizing AI: Sweden Turbocharges Its Innovation Engine

Sweden is outfitting its AI supercomputer for a journey to the cutting edge of machine learning, robotics and healthcare. It couldn’t ask for a better guide than Anders Ynnerman (above). His signature blue suit, black spectacles and gentle voice act as calm camouflage for a pioneering spirit. Early on, he showed a deep interest in …

Manipulating Tensors in PyTorch

Last Updated on January 23, 2023 PyTorch is a deep learning library. Just like some other deep learning libraries, it applies operations on numerical arrays called **tensors**. In the simplest terms, tensors are just multidimensional arrays. When we are dealing with the tensors, there are some operations that are used very often. In PyTorch, there …

Using Autograd in PyTorch to Solve a Regression Problem

Last Updated on January 24, 2023 We usually use PyTorch to build a neural network. However, PyTorch can do more than this. Because PyTorch is also a tensor library with automatic differentiation capability, you can easily use it to solve a numerical optimization problem with gradient descent. In this post, you will learn how PyTorch …

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5 Proven Ways How Chatbots Can Help Enterprise Businesses Scale

Enterprises. Think behemoths. The big guns. The giants in the industry. While there is no cut-and-dry explanation as to what exactly an enterprise is, one can safely assume that enterprise businesses are those whose revenues range from $1 million to a few billion dollars. The E.U. defines enterprise businesses as those that employ more than 250 people. …