More news from Lovable, but what can you do!
The company is now offloading latency-sensitive tasks to the Cerebras inference infrastructure.
The solution is based on the Wafer-Scale Engine: model weights are stored on a single chip wafer, which accelerates sequential token generation compared to classic GPU systems.
According to Lovable CEO Anton Osika, this allows the platform to "respond as quickly as users think."
The companies also agreed to jointly explore new product use cases that can be realized with faster inference.