SEATTLE & SANTA CLARA, Calif.--(BUSINESS WIRE)--GTC--Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced a multi-part collaboration ...

The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI workloads, analysts say.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Amazon today debuted AWS Trainium, a chip ...

As more companies move to custom silicon for their customer’s workloads, Amazon has been busy on this front. They introduced the Inferentia chip in 2019 to help speed up inference learning. Then last ...

AWS's Amazon SageMaker software, a set of tools for deploying machine learning, is not only spreading throughout many companies, it is becoming a key tool for some of the more demanding kinds of ...

Machine learning (ML) is powering breakthroughs that impact every aspect of our lives: cars that drive themselves, voice assistants that hold conversations, and even software that writes messages and ...

The launch of Amazon Elastic Inference lets customers add GPU acceleration to any EC2 instance for faster inference at 75 percent savings. Typically, the average utilization of GPUs during inference ...

At its re:Invent conference, AWS today announced SageMaker Studio Lab, a free service to help developers learn machine learning techniques and experiment with the technology. Studio Lab provides users ...

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For enterprises, the path to adopting artificial intelligence involves more than just development tools and algorithms. A company looking to deploy AI must first and foremost train its engineers in ...

AWS Greengrass, the edge computing platform from AWS, got a facelift in the form of machine learning inference support. The latest version (v1.5.0) can run Apache MXNet and TensorFlow Lite models ...