Follow Datanami:

Tag: PyTorch

New PyTorch 2.0 Compiler Promises Big Speedup for AI Developers

Machine learning and AI developers are eager to get their hands on PyTorch 2.0, which was unveiled in late 2022 and is due to become available this month. Among the features greeting eager ML developers is a compiler as Read more…

OpenXLA Delivers Flexibility for ML Apps

Machine learning developers gained new abilities to develop and run their ML programs on the framework and hardware of their choice thanks to the OpenXLA Project, which today announced the availability of key open source Read more…

Anyscale Branches Beyond ML Training with Ray 2.0 and AI Runtime

Anyscale today came one step closer to fulfilling its goal of enabling any Python application to scale to an arbitrarily large degree with the launch of Ray 2.0 and the Ray AI Runtime (Ray AIR). The company also announce Read more…

Machine Learning, from Single Core to Whole Cluster

The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and other fields has increa Read more…

Drones Put the AI into Aerial Intelligence

Advances in machine learning, data management, and cloud computing are having a significant impact on the market for drone-based mapping and intelligence gathering. Even as satellite-based imaging gains steam, drones app Read more…

Python Popularity Persists, AI Drives PyTorch

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related PyTorch and Tensorflow Read more…

PyTorch Upgrades to Cloud TPUs, Links to R

A version of the PyTorch machine learning framework that incorporates a deep learning compiler to connect the Python package to cloud Tensor processors (TPUs) is now available on Google Cloud, the public cloud vendor and Read more…

Scaling to Great Heights at the Ray Summit

If you haven’t yet heard about Ray, the open source Python framework for building distributed applications, then next week’s Ray Summit will provide a compelling introduction to what might be one of the cornerstone t Read more…

AWS Announces Support for PyTorch with Amazon Elastic Inference

AWS has announced that the Amazon Elastic Inference is now compatible with PyTorch models. PyTorch, which AWS describes as a “popular deep learning framework that uses dynamic computational graphs,” is a piece of fre Read more…

An Open Source Alternative to AWS SageMaker

There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker, there’s not a Read more…

Facebook Releases Another Deep Learning Tool

Facebook has released to open-source developers a deep learning framework that does double duty for computer vision and language tasks. Built on its PyTorch framework, Facebook is positioning Pythia as supporting “ Read more…

RAPIDS Momentum Builds with Analytics, Cloud Backing

Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture. Nvidia also announced that Apach Read more…

Uber’s Training Tool Shares Ride for Deep Learning

A Linux Foundation project focused on AI development is expanding with the addition of a deep learning training tool based on an Uber-sponsored project. Launch by the ride-sharing specialist, the Horovod project is a Read more…

Training Time Slashed for Deep Learning

Fast.ai, an organization offering free courses on deep learning, claimed a new speed record for training a popular image database using Nvidia GPUs running on public cloud infrastructure. A pair of researchers trained Read more…

Anaconda Enterprise Now Supports GPU Clusters

Organizations that need to train machine learning models on massive amounts of data may be interested in the latest release of Anaconda Enterprise, which adds support for training on GPU clusters. Customers running An Read more…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists. Any time you require some highly skilled Read more…

ParallelM Aims to Close the Gap in ML Operationalization

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…

8 New Products You’ll See At Strata + Hadoop World

In two weeks, big data enthusiasts from around the world will converge on San Jose for the semi-annual Strata + Hadoop World conference. Existing products like Spark and Kafka are destined to be the stars of the show, wh Read more…

Datanami