AI compute has to increase 100x over 4-5 years
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Hydaway Digital Corp. (TSXV: HIDE) ("Hydaway" or the "Company") is pleased to announce that it has entered into a GPU compute power services agreement (the "Agreement") with Mac Foster & Company Ltd.,
OpenAI president and co-founder Greg Brockman talked a lot about his desire for more compute while onstage with AMD Chair and CEO Lisa Su. As I noted a moment ago, he really wants more compute. And apparently that desire is shared across the company.
When I look at where we are today as an industry, it feels a lot like the early days of the internet all over again.
Against a backdrop of insatiable demand for compute, Web3 principles and technologies offer enterprises transparent, flexible, and cost-effective resource.
Elon Musk’s xAI has closed a massive $20 billion Series E funding round, blowing past its original $15 billion target and signalling renewed investor confidence in a compute-heavy approach to artificial intelligence.
Many of today’s AI models are all about scale. They gobble up energy and demand constant increases in compute power to stay at the cutting edge. This isn’t the case with physical AI, which requires data—not computation—to remain competitive. While computing power accelerates learning, physical AI systems still need large datasets to learn on.
CloudEagle, Echo and The San Francisco Compute Co. are just some of the cloud computing startups to watch in 2026.
Under Lisa Su’s more than eleven years as AMD’s chief executive officer, the company has returned from Opteron exile to be a formidable CPU foe to Intel
We are all familiar enough by now with the succession of boards that have come from Raspberry Pi in Cambridge over the years, and when a new one comes out we’ve got a pretty good idea what
Consciousness may emerge not from code, but from the way living brains physically compute.
At CES 2026, Jensen Huang said Nvidia is scaling full AI systems as reasoning, agents, and physical AI drive exploding compute, power, and memory demand.