For someone whose unbridled imagination has triggered massive waves of tech-industry innovation and growth over the past few decades, Oracle chairman Larry Ellison appears to have finally met his big-vision match as Oracle’s Q2 results inspired him to say that “the scale of the [AI] opportunity is unimaginable.”
While the Oracle Q2 cloud numbers cited above look very strong across the board, Ellison
— a superb storyteller — seemed almost at a loss for words to describe what the future might look like for not only Oracle but the entire tech industry that has surged into the AI world more aggressively — and productively — than any other platform shift I have ever seen.
I believe Ellison very purposefully chose the word “unimaginable” to describe the unfolding AI opportunity because as fast as new breakthroughs are turned into business outcomes, those are almost instantly followed by even more ambitious releases.
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“The Oracle Cloud trains dozens of specialized AI models and embeds hundreds of AI Agents in cloud applications,” Ellison said in the Q2 release.
“For example, Oracle’s AI Agents automate drug design, image and genomic analysis for cancer diagnostics, audio updates to electronic health records for patient care, satellite image analysis to predict and improve agricultural output, fraud and money laundering detection, dual-factor biometric computer logins, and real-time video weapons-detection in schools.”
As those agents grow in number from hundreds to tens of thousands and fairly soon millions from across the tech industry, the impact across the globe will be massive, Ellison said.
“Oracle-trained AI models and AI Agents will improve the rate of scientific discovery, economic development, and corporate growth throughout the world,” Ellison said.
“The scale of the opportunity is unimaginable.”
Catz added another element to the head-spinning outlook for Oracle in particular but also the world-shaping companies of the Cloud Wars Top 10 and she cited her company’s release of the world’s fastest computer to help handle this extraordinary demand for AI-trained models and agents.
“Growth in the AI segment of our infrastructure business was extraordinary — GPU consumption was up 336% in the quarter — and we delivered the world’s largest and fastest AI SuperComputer, scaling up to 65,000 NVIDIA H200 GPUs,” Catz said.
Later this week, I’ll have a more in-depth analysis of where Catz and Ellison think their company and the industry are headed.
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