Sponsored Feature: With each new successive generation of Intel® Xeon® Scalable processors, more and more of the workloads that might be otherwise offloaded to discrete accelerators or SmartNICs have been pulled back onto the processor socket – and often in a way that does not burden the CPU cores with running routines and algorithms implemented in software. …
Sponsored Post: CPU speed matters a lot to certain types of process-intensive applications like artificial intelligence (AI) and machine learning (ML), so anything that helps to boost the raw power of the servers which inhabit modern datacenters will provide a welcome performance boost. …
Sponsored Feature: In an ideal world, if you knew exactly and precisely what application you are going to run, then co-designing a custom application and its processor would be a fairly simple matter and price/performance and performance per watt would always be as perfect as it could be. …
In many industries, embracing AI in the application software stack it is not just a matter of training some large language models or recommender systems against general and then specific datasets and plugging it in. …
Sponsored Post: We all know that inferencing and training AI models needs a lot of CPU muscle, but we don’t necessarily appreciate how important other components are in supporting AI and ML applications. …
It has been becoming increasingly clear – anecdotally at least – just how expensive it is to train large language models and recommender systems, which are arguably the two most important workloads driving AI into the enterprise. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
Sponsored Feature: It’s a decade and a half since researchers dazzled the tech world by demonstrating that GPUs could be used to dramatically accelerate key AI operations. …
Sponsored Feature: Humans have wanted to know what the weather is going to do since first we understood how the forces of nature determined our expectations of survival. …
While AI training dims the lights at hyperscalers and cloud builders and costs billions of dollars a year, in the long run, there will be a whole lot more aggregate processing done on AI inference than on AI training. …
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