
Field Of GPUs
“If you build it, they will come,” as we all learned from watching Field of Dreams two and a half decades ago. …
“If you build it, they will come,” as we all learned from watching Field of Dreams two and a half decades ago. …
Wouldn’t it be funny if Larry Ellison, who has become the elder statesman of the datacenter, had the last laugh on the cloud builders and model builders by beating them at their own game? …
Ever since Nvidia reported its most recent financial results, where company co-founder and chief executive officer Jensen Huang said that there would be somewhere between $3 trillion and $4 trillion in spending on AI between now and the end of the decade, we have been on the prowl for any market research that backs up this claim or is its source. …
The expectations for GenAI are unreasonably high and the pressure on Nvidia is tectonic. …
Building a successful cloud and growing it quarter after quarter, year after year, with first mover status or without it, is not an easy task. …
A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running new data through a model to cause an application to act or react – was easy. …
AI agents bring with them the promise of being able to autonomously solve complex tasks put before them, from finding and analyzing the necessary data, choosing tools, and making decisions without human intervention to learning from their mistakes and adapting to changes. …
Perhaps the most interesting conversation that has happened so far in the White House in 2025, at least from the point of view of the IT sector, is when Nvidia co-founder and chief executive officer, Jensen Huang, put on his Sunday best suit and visited President Donald Trump to presumably talk about technology, AI, trade, and war on July 10. …
Every major economy that is not the United States or China, which has a disproportionate share of HPC national labs as well as hyperscaler and cloud builder tech titans, wants AI sovereignty a whole lot more than they ever worried about HPC simulation and modeling. …
One of the biggest questions that enterprises, governments, academic institutions, and HPC centers the world over are going to have to answer very soon – if they have not made the decision already – is if they are going to train their own AI models and the inference software stacks that make them useful or just buy them from third parties and get to work integrating AI with their applications a lot faster. …
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