Facebook Inc. today updated its popular artificial intelligence software framework PyTorch with support for new features that enable a more seamless AI model deployment to mobile devices.PyTorch i ...

Step 1: Prepare your PyTorch model. Train or load your model. Train your model on a development machine or load a pre-trained model from PyTorch’s model zoo: import torch import torchvision.models as ...

Comparing NVIDIA performance numbers (using INT + TensorRT + Custom model) against AWS’s (through PyTorch, open source model & Bfloat16) may not be an apples to apples comparison, but running ...

Using these combined optimizations on PyTorch nightly builds, the IBM researchers were able to achieve inference speeds of 29 milliseconds per token on a 100 GPU system for a large language model ...

To understand what’s at stake, we spoke with Srinidhi Goud Myadaboyina, a senior machine learning engineer whose work spans Cruise, Amazon, and Cisco.He’s a published author in NTP, GSAR, and ...

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework.The first of these is TorchServe, a model-serving framework for ...

NVIDIA's TensorRT AI Model Now Runs On All GeForce RTX 30 And 40 GPUs With 8GB+ Of ... It’s because of this work that developers are now more easily able to deploy AI models using a cross-vendor ...

At its GTC conference, Nvidia today announced Nvidia NIM, a new software platform designed to streamline the deployment of custom and pre-trained AI models into production environments.

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook ...