Kodiak now runs on AWS. We’re proud to announce we’re using Amazon Web Services (AWS) as our primary cloud compute and storage provider
, supporting the AI model development, cloud-based simulation, and safety validation behind the Kodiak Driver. As we prepare to launch driverless operations on public highways later this year, AWS gives us the scale and reliability we need.
Training AI models obviously requires a lot of horsepower. But maybe more importantly, AWS is our best option for running BreakPoint, our in-house simulation safety engine. Some of the toughest edge cases in autonomous driving would take tens of thousands of real-world miles to find. BreakPoint finds them in minutes, deliberately injecting realistic errors into the system and hunting for the edgiest edge cases.
Not only does AWS give us the scale and reliability we need heading into launch, it also gives us the infrastructure we need as we add more and more lanes. #AIfortheLongHaul
Why this matters for talent
Kodiak AI moved its AI model development, simulation and safety validation workloads onto AWS as its primary cloud provider ahead of launching driverless highway operations later this year. Infrastructure moves like this one usually precede a wave of machine learning and simulation engineering hiring rather than following it. Kodiak carries more than 60 open roles on the board today.
45 likes · 2 comments · 1 shares · Read the Source link unavailable.. Curated by Larry Sherwood Jr. from company announcements; analysis above is my own.