Amazon says its next-gen chips are four times faster for AI training

Amazon Web Services (AWS) just kicked off its Las Vegas-based re:Invent conference with a stream of announcements, most of which involve the year’s most popular technology, AI. These news items, taken as a whole, give us a sneak peek at the company’s long-term goals for artificial intelligence platforms. First of all, AWS unveiled its latest-generation of AI chips intended for model training and for running trained models. Trainium2, which is obviously for model training, has been designed to deliver up to 4x better performance and 2x energy efficiency when compared to its forebear. Amazon promises these chips will allow programmers to train models quickly and at a lower cost, due to a reduction in energy use. Anthropic, an Amazon-backed OpenAI competitor, has already announced plans to build models using Trainium2 chips. Graviton4, on the other hand, is more for general use. These processors are based on Arm architecture, but consume less energy than Intel or AMD chips. Amazon promises an increase of 30 percent in general performance when using a trained AI model embedded within a Graviton4 processor. This should lower cloud-computing costs for organizations that regularly employ AI models and offer a slight uptick in speed for regular users just looking to make some fake photos of Harry Potter at a rave or whatever. All told, Graviton4 should allow AWS customers to “process larger amounts of data, scale their workloads, improve time-to-results... Continue reading at 'Engadget'

[ Engadget | 2023-11-28 20:00:28 UTC ]
News tagged with: #total cost #coming months #development team #similar approach #generate content #customer requests #betting big #market share #harry potter

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