Unsurprisingly, the main topic of conversation at the recent Dell Technologies World 2025 event in Las Vegas was AI, and a central theme that wove through many of the messages we heard there was that adopting the emerging technology is much easier now than it was even a year ago. …
Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. …
AI agents are the latest evolution in the relatively short life span of generative AI, and while some organizations are still trying to figure out how the emerging technology fits in their operations, others are making strides into agentic AI. …
The AI era has a much different vibe than prior eras in the IT industry. …
Updated: Here is something we don’t see much anymore when it comes to AI systems: list prices for the accelerators and the base motherboards that glue a bunch of them together into a shared compute complex. …
If you want to take on Nvidia on its home turf of AI processing, then you had better bring more than your A game. …
It is a strange time in the generative AI revolution, with things changing on so many vectors so quickly it is hard to figure out what all of this hardware and software and people-hours costs and what it might be worth when it comes to transforming, well, just about everything. …
There is more than one way to get to a large language model with over 1 trillion parameters that can do lots of different things and enterprises can use to create AI training and inference infrastructure to extend and enrich their thousands of applications. …
The only way to accurately predict the future is to live it, but just the same, prognostication is one of the things that we humans love to do. …
Since the advent of distributed computing, there has been a tension between the tight coherency of memory and its compute within a node – the base level of a unit of compute – and the looser coherency over the network across those nodes. …
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