“People enjoy a narrative where they say like, ‘How are you possibly doing your own chips when you have other partners who have their other chips?’ And it turns out, customers like choice,” said AWS ...

NinjaTech AI, an SRI-backed generative AI spinout, powered by custom Ninja LLMs, has created a multi-agent personal AI that can plan and execute real-world tasks asynchronously, such as researching ...

'We have seen, especially in that AI space, these extremely high-powered chips on back order because they can’t make them fast enough. AWS own chips are going to be extremely beneficial on that side ...

At its re:Invent conference, AWS today announced the general availably of its Trainium2 (T2) chips for training and deploying large language models (LLMs). These chips, which AWS first announced a ...

AWS Graviton4 is the most powerful and energy-efficient AWS processor to date for a broad range of cloud workloads AWS Trainium2 will power the highest performance compute on AWS for training ...

For those working with complex databases or engaging in big data analytics, the Amazon EC2 R8g instances powered by Graviton4 are designed to meet your needs. These instances are optimized to enhance ...

Amazon Web Services is set to announce an update to its Graviton4 chip that includes 600 gigabits per second of network bandwidth, what the company calls the highest offering in the public cloud. Ali ...

Alibaba said it developed a new chip for artificial intelligence (AI) inference that speeds up machine learning tasks on its platforms by 12 times the previous rate. The chip is called Hanguang 800 ...

AWS Launches New Chips for AI Training and Its Own AI Chatbot Your email has been sent At AWS re:Invent, NVIDIA contributed GPUs to Amazon's cloud efforts and added a retriever system to its AI ...

Amazon Web Services (AWS) has updated the pricing structure for some of its Elastic Compute Cloud (Amazon EC2) Capacity ...