Amazon is a major buyer of Nvidia GPUs, but its data centers also run its custom Tranium AI chips. Amazon claims Trainium delivers up to 40% better performance-per-dollar than comparable GPUs.

One of the biggest challenges in rolling out AI across enterprise environments is fully tapping into each organization's unique requirements, data sets, and existing infrastructure. If you're a ...

Despite the title of this article, this is not a DP-900 exam braindump in the traditional sense. I do not believe in cheating. Traditionally, the term braindump referred to someone taking an exam, ...

A Japanese trade organization representing publishers like Studio Ghibli wrote a letter to OpenAI last week, calling for the AI giant to stop training its AI models on their copyrighted content ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Microsoft released Azure Cosmos DB Python SDK version 4.14.0, a stable update designed to support advanced AI workloads and enhance performance for data-driven applications. The release includes new ...

Microsoft Corp. is still suffering from a computing capacity crunch despite massive spending on data centers, a scenario that weighed on the company’s closely watched Azure cloud unit. During the ...

Ask Studio is an AI chat interface in YouTube Studio that can summarize analytics data. It provides data through conversational, real-time answers. Ask Studio available in the United States and ...

Microsoft Corp.’s data-center crunch will continue for longer than the company has previously outlined, underscoring the software giant’s struggles to keep up with cloud demand. Many of Microsoft’s US ...

But there might be another way for new data centers to get the enormous amount of energy they plan to use. A recent report from the nonprofit Rewiring America suggests that instead of building new ...

The excitement around generative AI has pushed large language models (LLMs) to the forefront of enterprise software development--but getting those models into production is where the real complexity ...