NVIDIA's AI predictions for 2025

Experts at NVIDIA have much to say about AI advances in 2025:

Accelerators

Andrew Feng, VP of GPU Software at NVIDIA said that painless accelerated data analytics will become mainstream in 2025. "Businesses generate hundreds of petabytes of data annually, and every company is seeking ways to put it to work. To do so, many will adopt accelerated computing for data analytics," he said.

"The future lies in accelerated data analytics solutions that support 'no code change' and 'no configuration change', enabling organisations to combine their existing data analytics applications with accelerated computing with minimum effort. Generative AI-empowered analytics technology will further widen the adoption of accelerated data analytics by empowering users — even those who don’t have traditional programming knowledge — to create new data analytics applications.

"The seamless integration of accelerated computing, facilitated by a simplified developer experience, will help eliminate adoption barriers and allow organisations to harness their unique data for new AI applications and richer business intelligence."

AI query engines

Source: NVIDIA. Briski.

"AI query engines will change how businesses mine that data, and company-specific search engines will be able to sift through structured and unstructured data, including text, images and videos, using natural language processing and machine learning to interpret a user’s intent and provide more relevant and comprehensive results," said Kari Briski, VP of AI Generative Software, NVIDIA.

"This will lead to more intelligent decision-making processes, improved customer experiences and enhanced productivity across industries. The continuous learning capabilities of AI query engines will create self-improving data flywheels that help applications become increasingly effective."

Inferencing

Source: NVIDIA. Buck.

Ian Buck, VP of Hyperscale and HPC, NVIDIA said that as AI models grow in size and complexity, the demand for efficient inference solutions will increase. "The rise of generative AI has transformed inference from simple recognition of the query and response to complex information generation — including summarising from multiple sources and large language models such as OpenAI o1 and Llama 450B — which dramatically increases computational demands. Through new hardware innovations, coupled with continuous software improvements, performance will increase and total cost of ownership is expected to shrink by 5x or more," he said.

Charlie Boyle, VP of DGX Platforms, NVIDIA, added that high-performance inferencing will be essential with agentic AI. 

"The dawn of agentic AI will drive demand for near-instant responses from complex systems of multiple models. This will make high-performance inference just as important as high-performance training infrastructure," he said. 

Source: NVIDIA. Boyle.

"IT leaders will need scalable, purpose-built and optimised accelerated computing infrastructure that can keep pace with the demands of agentic AI to deliver the performance required for real-time decision-making."

Multistep reasoning

Briski said AI models will tackle increasingly complex problems and respond with greater accuracy and deeper analysis.

"Using a capability called multistep reasoning, AI systems increase the amount of 'thinking time' by breaking down large, complex questions into smaller tasks — sometimes even running multiple simulations — to problem-solve from various angles. These models dynamically evaluate each step, ensuring contextually relevant and transparent responses. Multistep reasoning also involves integrating knowledge from various sources to enable AI to make logical connections and synthesise information across different domains," she said.

"This will likely impact fields ranging from finance and healthcare to scientific research and entertainment. For example, a healthcare model with multistep reasoning could make a number of recommendations for a doctor to consider, depending on the patient’s diagnosis, medications and response to other treatments."

Explore

Other AI predictions can be found in A is for AI, parts 1, 2 and 3, as well as across other 2025 predictions pieces. Agentic AI is discussed in a separate post, as is application development under S is for software development.

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