Building AI Into Systems That Can't Afford to Be Late - with Drew Barbier of MIPS

Welcome, everyone, to the Emerge AI in Business podcast. Drew discusses why teams building AI into vehicles, robots, and industrial equipment get better real-time performance when they start from the software workload instead of the hardware.

It goes beyond the title with direct discussion of right, workloads, things, including: Today's guest is Drew Barbier, Vice President of the IP Business Unit at Mobs.

1. 01Drew discusses why teams building AI into vehicles, robots, and industrial equipment get better real-time performance when they start from the software workload instead of the hard
2. 02So what's the broader approach teams take when deploying AI in environments that depend on hardware software systems running real workloads Yeah great question At MIPS we call this
3. 03Getting away from general purpose AI and running AI on things like GPUs and the like