Getting workers up to speed on the latest artificial intelligence technology has become a priority for many of the world’s top companies. That includes the tech giants, which recently ...Full Article
Those anticipating an eventual GPT-5 release may have a long time to wait. The current trend of developing ever-larger AI models like GPT-4 may soon come to an end, ...Full Article
Training AI models can be incredibly computationally intensive. Researchers often use supercomputers to ready the models, and the impact can be severe: the training process for a single model ...Full Article
Nvidia’s T4 GPUs unveiled earlier this year for accelerating workloads such as AI inference and training are making their “global” debut as cloud instances on Google Cloud. Google (NASDAQ: ...Full Article
Google continues to add GPU horsepower in tandem with its internally developed deep learning processors to its cloud platform with this week’s announcement that it will soon offer Nvidia’s ...Full Article
Graphics processors increasingly used as hardware accelerators for deep learning applications are also being deployed with the Kubernetes cluster orchestrator as another way to accelerate the scaling of training ...Full Article
As machine learning makes steady progress in enterprise datacenters, industry observers are forecasting the emergence of a new wave of machine learning chips in the coming year, a market ...Full Article
In order to secure enterprise networks and their far-flung components, everyone needs to be on the same page. That's at least part of the thinking behind a renewed U.S. ...Full Article
It's best to get your ducks in a row before moving the company jewels to the cloud, a migration study advises. As hybrid cloud strategies gain momentum, the migration ...Full Article
The growing desire to speed the deployment of enterprise software is being hampered by a shortfall in automation skills and "fragmented" testing processes. Lack of training and tools along ...Full Article
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