Groq Aims to Provide At Least Half of the World’s AI Compute, Says CEO

When a company like NVIDIA becomes the preferred option for most AI labs for hardware and rises to the status of the world’s biggest company, does it imply that the GPU maker excels in every domain? Probably not.  American AI infrastructure provider Groq once shared an amusing comment in a blog post. “GPUs are cool for training models, but for inference, they’re slowpokes, leading directly to the great-model-that-no-one-uses problem.” The company is well on its way to beating NVIDIA in providing inference – a crucial process in which a pre-trained AI model applies its learnings to generate outputs.  Groq’s language processing unit (LPU) offers capabilities specific to AI inference in ways much better than a traditional graphics processing unit (GPU). In a