AI has changed a lot in the last ten years. In 2012, convolutional neural networks (CNNs) were the state of the art for computer vision. Then around 2020 vison transformers (ViTs) redefined machine learning. Now, Vision-Language Models (VLMs) are changing the game again—blending image and text understanding to power everything from autonomous vehicles to robotics to AI-driven assistants. You’ve probably heard of the biggest ones, like CLIP and DALL-E, even if you don’t know the term VLM.
Here’s the problem: most AI hardware isn’t built for this shift. The bulk of what is shipping i
