Episode Details
Back to EpisodesCheaper AI Models Are Here: Can Enterprises Keep Up With AI’s Release Cycle?
Description
AI was on the agenda for world leaders this week as OpenAI and Anthropic released cheaper models and NVIDIA CEO Jensen Huang called for stronger testing and verification before developers release systems they cannot safely evaluate. Meanwhile, a specialist model called Jev is drawing attention for making fast decisions inside software, and established software companies are discounting or bundling AI as customers weigh what these tools are worth.
On this week’s AI Proving Ground Podcast, World Wide Technology CTO Mike Taylor breaks down the headlines and what they mean for enterprise AI leaders deciding where — and how — to put AI to work.
Taylor unpacks Huang’s case for open-weight AI, the hidden “evaluation tax” of keeping up with new models and the rise of specialized AI designed to make decisions inside software. He also examines what buyers should watch as AI pricing shifts across models, platforms and familiar software suites.
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.