AI Hardware Race Accelerates as Demand Soars for More Efficient Chips to Power Next Wave of AI Progress
- Demand for GPUs to power AI is soaring, with training ChatGPT costing OpenAI over $100 million
- The race for AI supremacy is driving massive energy consumption in data centers
- Startups are developing new types of computer chips, like "stochastic" and "thermodynamic" hardware, to enable more efficient AI
- Researchers argue the limits of Moore's Law mean a radical rethinking of computing is needed to keep advancing AI
- Investors are betting on hardware startups developing completely new computing paradigms to power the next wave of AI progress