Zuckerberg promises "personal superintelligence" after spending billions poaching AI talent from competitors. His vision sounds remarkably similar to what OpenAI already offers. Is this innovation or desperation?
Google will sign EU's AI rules while Meta refuses, creating a strategic split in Big Tech. The divide reveals two different approaches to Europe's regulatory push as new AI laws take effect August 2.
Israeli startup Teramount raised $50M to solve AI's hidden bottleneck: connecting processors. While everyone builds faster chips, these physicists found the real problem in the wires between them. Their optical solution promises 100x speed gains.
Category: Hardware & Infrastructure
GPUs are computer chips originally designed for graphics that now power most AI training and inference.
GPUs excel at doing many simple calculations simultaneously. AI involves massive matrix math, which maps perfectly to GPU strengths.
While CPUs have 4-16 cores, GPUs have thousands of smaller cores working in parallel.
GPUs made modern AI possible. Without them, training large models would take decades instead of weeks. They're why AI advanced so rapidly in the 2010s.
Most AI applications require GPUs for practical performance.
Get the 5-minute Silicon Valley AI briefing, every weekday morning — free.
