The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

When was the last time you got lost in a book? These days, the act of 'deep reading,' or reading with intention, can be difficult to practice. Maryanne Wolf, an expert in the science of reading, ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When OpenAI’s ChatGPT first exploded onto the scene in late 2022, it sparked a global obsession ...

The widespread adoption of generative AI (GenAI), exemplified by tools such as ChatGPT, is ushering society into a new era with novel risks and opportunities. The next phase of GenAI’s growth is a ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...