Even Nvidia's head of automotive fights with Nvidia for compute
News Source
β’2026-07-13T11:00:00-04:00
π° What Happened
Xinzhou Wu, the head of automotive at Nvidia, says even he has to fight for computer power inside his own company. Nvidia makes the chips that power most AI systems. Demand for these chips is off the charts. So even Wu's own team struggles to get enough for their car projects. He spoke about this on The Verge's Decoder podcast. Nvidia has built a full self-driving system that car makers can use. It is already in some Mercedes EVs. But getting the chips to run it is a battle.
π The Backstory
Nvidia has become one of the most valuable companies in the world because of AI. Its GPUs are the standard for training AI models. Every tech company wants them. That includes Nvidia's own internal teams. Wu's team works on autonomous driving systems. They need huge amounts of computing power to test and run their software. But they compete with every other division inside Nvidia for the same chips. This shows just how intense the demand for AI computing has become. Even the company that makes the chips cannot always get enough for itself.
π― Why It Matters
If Nvidia's own teams cannot get enough chips, imagine how hard it is for smaller companies. This chip shortage could slow down progress on self-driving cars and other AI tech that needs lots of power.
Xinzhou Wu, the head of automotive at Nvidia, says even he has to fight for computer power inside his own company. Nvidia makes the chips that power most AI systems. Demand for these chips is off the charts. So even Wu's own team struggles to get enough for their car projects. He spoke about this on The Verge's Decoder podcast. Nvidia has built a full self-driving system that car makers can use. It is already in some Mercedes EVs. But getting the chips to run it is a battle.
Nvidia has become one of the most valuable companies in the world because of AI. Its GPUs are the standard for training AI models. Every tech company wants them. That includes Nvidia's own internal teams. Wu's team works on autonomous driving systems. They need huge amounts of computing power to test and run their software. But they compete with every other division inside Nvidia for the same chips. This shows just how intense the demand for AI computing has become. Even the company that makes the chips cannot always get enough for itself.
If Nvidia's own teams cannot get enough chips, imagine how hard it is for smaller companies. This chip shortage could slow down progress on self-driving cars and other AI tech that needs lots of power.