The economics of AI inference are reshaping how organizations plan, build, and scale their AI investments. This session unpacks the critical levers from silicon to software that determine AI token output and directly impact the bottom line. Through real-world use cases, gain a practical framework for sizing your AI infrastructure needs at scale. See how NVIDIA's extreme co-design approach maximizes tokens-per-watt and minimizes cost-per-token and cost-per-task, enabling organizations to profitably scale AI revenue.
Speakers: Shruti Koparkar, Sr Manager, Product Marketing, NVIDIA
