The demand for computing power is growing rapidly, and we can't ramp up spending fast enough to keep up with use cases.

In a world with AI, we need hardware and software that are more aware of their environment and can interact in ways beyond just typing and screens.

When we said we wanted a computer on every desk and in every home, people thought we were out of touch, but technology was advancing rapidly.

There's a significant opportunity to accelerate machine learning applications and societal benefits with increased compute power.

There's a significant gap between the current compute capabilities and what could be achieved with ten to a hundred times more compute, which would allow for much greater AI services.

The transition to new computing architectures is ongoing, and we are in the early stages of blending different types of software for future applications.

We're building hardware that will be of a very high quality, which takes time, as current computers were designed for a world without AI.

We have the opportunity to completely reimagine what it means to use a computer.

The exponential improvement of chips allowed us to envision computing as essentially free, enabling widespread use.