**Riding the Generative AI Wave**
Generative AI is gaining traction in the business world, with Walmart recently rolling out a gen AI app to 50,000 non-store employees. This technology combines data from Walmart with third-party large language models (LLMs) and can assist employees with tasks like drafting, creative collaboration, and summarizing documents. The demand for graphical processing units (GPUs) needed to train powerful deep learning models is also on the rise, with companies like Nvidia benefiting from this surge. Google and Nvidia have also partnered to give Google Cloud customers greater access to Nvidia-powered technology.
**How Generative Tech is Shaping the Future of Computing**
Nvidia CEO Jensen Huang believes that the demand for GPUs marks the beginning of the era of “accelerated computing.” He advises companies to focus on generative AI and accelerated computing rather than general-purpose computing. CPUs, which are designed for a range of tasks, are considered legacy infrastructure, as GPUs can perform complex calculations simultaneously, making them ideal for machine learning and gen AI tasks. However, not all software can benefit from GPUs, as some applications are optimized for CPUs.
**We’ve Been Through This Before**
Accelerated computing and GPUs are not the solution for every software need. There is a risk of inflated expectations surrounding gen AI, which is currently at the peak of the Gartner emerging technology hype cycle. Gen AI may have its limitations, including inadequate training data, hallucinations, and outdated training corpora. Technological advancements and more affordable GPUs will be crucial for the development and dissemination of the next wave of gen AI innovation.
**The Next Wave**
Despite the current limitations, the future looks promising for gen AI. The demand for automation driven by a shortage of workers is likely to fuel the need for gen AI technology. AI and automation are converging into the same field, and gen AI is becoming a driver of automation and productivity. Companies like Amazon and startups are challenging Nvidia’s dominant position in chip manufacturing, aiming to broaden the sources and reduce the prices of GPUs. This will be critical for the advancement of gen AI and the next wave of innovation in this field.
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