While there is some truth in the fact that AI will make it possible to do more with less, the technology also opens up opportunities for new types of jobs in the data center.
While upstarts like Anthropic AI may have created powerful breakthrough tech, they still need Big Tech's money, data centers, and cloud computing resources to make it work.
Meta has launched a new conversational chatbot, Meta AI, in an attempt to compete with OpenAI's popular ChatGPT amid an industry-wide boom in generative AI.
As part of the deal, Anthropic will move most of its software to AWS data centers, and use the cloud computing company’s homegrown chips to train the models.
Glass-based substrates, which sit between the chip and connecting components, could help large and complex processors communicate, Intel researchers say.
AI/ML workloads exhibit similar characteristics and behaviors to HPC and HPD, meaning networking professionals can apply their existing knowledge base to ensure AI/ML runs as it should.
Generative AI is expected to create a second stream of data center demand comparable to the cloud. Here's a look at the role of the colocation data center in helping meet this historic wave of new demand, and how data center operators can be ready...
As data centers struggle to tackle energy efficiency and decarbonize, AI has emerged as a powerful solution. Let's look at the technology — and where it falls short.