When it comes to solving data analytics problems at scale, it is tough to beat the hyperscalers. And that is why a combination of technologies that were originally developed at Facebook (now Meta Platforms) and Netflix could end up being the perfect pairing to create a “lakehouse” underpinning AI training …
The energy sector is undergoing a monumental shift as the power grid struggles to accommodate growing demand and the complexity of modern energy systems. A major driver of this change is the increasing use of distributed renewable energy sources such as wind, solar and geothermal. These have very different location …
It would be hard to pick a worse time to not have an XPU offload engine that can do lots of matrix math at mixed precision and that can ship in volume. But this is precisely where Intel finds itself as there is a server recession in the datacenter. And …
It has been quite a week for Hashi Corp, the company behind the open source Hashi Stack of systems software for creating and running modern, distributed applications. First, on Monday the company was in the middle of transforming is business model with the Hashi Stack, and had a big event …
Not many devices in the datacenter have been etched with the Intel 4 process, which is the chip maker’s spin on 7 nanometer extreme ultraviolet immersion lithography. But Intel’s Loihi 2 neuromorphic processor is one of them, and Sandia National Laboratories is firing up a supercomputer with 1,152 of them …
Here is a paradox for you: Spending on infrastructure to support generative AI is apparently booming, as clearly evidenced by the skyrocketing revenues and profits of Nvidia. But spending on datacenter hardware is not changing all that much, and where spending is now forecast to be higher, it is in …
With large language models, bigger is better (and faster) but better is also better. And one of the key insights that the Meta AI research team had with the Llama family of models is that you want to optimize for the lowest cost, highest performance AI inference with any model …
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