AI Inference Outpaces AI Training – Oracle CTO
Oracle Bets Big on AI Inferencing: A Future Where AI Drives Your Business
By Lisapark, Chief Editor
The winds of change are howling through the enterprise AI landscape, and Oracle is positioning itself to ride the storm. Forget the endless training of large language models on mountains of data; the future, according to Oracle co-founder, chairman, and CTO Larry Ellison, lies in AI inferencing – the strategic deployment of pre-trained models to deliver tangible business value in real-time.
this isn’t just boardroom bravado. Ellison’s conviction is backed by a staggering $455 billion in remaining performance obligations (RPOs),a testament to the company’s transformation from a legacy software giant to a cloud and AI infrastructure powerhouse. This massive backlog of contracts signals a clear vote of confidence from Oracle’s customers in their AI vision.
The company’s fiscal Q1 2026 results further underscore this shift.While total revenue of $14.9 billion, a 12% increase year-over-year, slightly missed analyst expectations, the market responded with enthusiasm, sending Oracle stock soaring 31% in after-hours trading.
What does this mean for Oracle’s CIO clients?
This performance provides concrete evidence of Oracle’s long-term commitment to strategic AI. The massive RPOs demonstrate that othre organizations are buying into this vision as well. Oracle is also focused on delivering AI inferencing tools securely, and on leveraging generative AI (GenAI) to boost productivity across enterprise operations while safeguarding corporate data privacy – a critical concern for today’s CIOs.
Why AI Inferencing is Poised to Revolutionize Operations
“Oracle is clearly participating in the AI gold rush and also benefitting indirectly by the large AI vendors spreading around their investments across all the major cloud platforms. Having a seat at this table is critical for Oracle’s future,” Torsten Volk, principal analyst at Enterprise Strategy Group, told InformationWeek.
ellison envisions AI inferencing as the engine driving robotic factories, powering biomolecular simulations for drug design, automating laboratories, and even making strategic decisions in financial markets. He predicts that AI inferencing will automate processes across finance, legal, and sales departments.
“AI is going to write – that is, generate the computer programs called AI agents that will automate your sales and marketing processes,” Ellison stated.
the distinction between AI training and inferencing is crucial. During training, an AI model learns to identify patterns within a dataset. in the inferencing phase, the trained model applies these learned patterns to create predictions, generate content, or make decisions when it encounters new, previously unseen data.
The Bottom Line
Oracle’s strategic pivot towards AI inferencing is more than just a technological shift; it’s a fundamental change in how businesses will operate.By focusing on the practical application of AI, Oracle is empowering organizations to unlock new levels of automation, efficiency, and innovation. The future isn’t just about building AI; it’s about using it to build a better business.