
TPU? GPU? What's the difference between these two chips used for AI?
About this episode
Graphics processing units (GPUs) have become the most important commodity in the AI boom — and have made Nvidia a multi-trillion dollar company. But the tensor processing unit (TPU) could present itself as competition for the GPU.
TPUs are developed by Google specifically for AI workloads. And so far, Anthropic, OpenAI and Meta have reportedly made deals for Google’s TPUs.
Christopher Miller, historian at Tufts University and author of "Chip War: The Fight for the World's Most Critical Technology," explains what this could mean.
Get every episode summarized
Each time Marketplace Tech publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Marketplace Tech

Raising kids in an AI-driven world
Marketplace Tech

What AI can and can't do for you (for now)
Marketplace Tech

Amid Silicon Valley scramble for AI agent productivity, "token anxiety" takes ho...
Marketplace Tech

Anthropic’s new, powerful allies: Elon Musk and SpaceX
Marketplace Tech