Remove Autonomous Vehicle
Workflow Bottlenecks

Autonomous Driving Workflows

Autonomous vehicle developers use various workflows to create their perception, planning, and control models. These workflows typically involve collecting, processing, and storing a massive amount of data so that data scientists can build data sets for training and validating their models. As these workflows are utilized, customers begin to experience the inability to fully utilize their given resources due to bottlenecks. Typically, these bottlenecks appear in the form of not being able to keep their GPUs feed. In turn, training slows and time is wasted both by the systems themselves, and the researchers trying to validate those models.

An Autonomous Vehicle Cloud Solution That's Different

Larger cloud providers do one thing really well... hyperscale. However, what they can't do well is handle Autonomous Vehicle infrastructure efficiently. It takes a more custom tailored approach to remove the bottlenecks and get the full performance needed. This is why Cirrascale Cloud Services chose to concentrate its efforts on ensuring the growing Autonomous Vehicle and ADAS market had solutions in place that could effectively handle these workflows.

Additionally, our cloud is structured differently so you never experience hidden fees. All of the large providers squeeze you with extra fees and charges to get your data out of their storage clouds. WE DON’T! Those charges add up fast, and once you start placing your data with them, you feel locked-in because to get the data out it would cost too much. You won’t get that with us as we don’t charge any ingress or egress fees on data.