Lovable, the Swedish startup that lets people build apps by typing plain English, has partnered with Cerebras Systems to run its most latency-sensitive AI workloads on Cerebras’ wafer-scale inference platform. The deal pairs one of the fastest-growing “vibe coding” platforms with arguably the most ambitious chip architecture in AI hardware.
Lovable, founded in 2023, has carved out a niche in the rapidly expanding AI development tools market. Its platform takes natural language prompts and turns them into functional apps and websites, a workflow the industry has taken to calling “vibe coding.” The company raised $330 million in a Series B round in December 2025, landing a valuation of $6.6 billion.
Cerebras builds chips that are literally the size of dinner plates. Its wafer-scale engines are designed from the ground up for ultra-low-latency AI inference, meaning they’re optimized for the moment a trained model actually has to produce an output in real time. The company has been on a tear in 2026, locking in major partnerships with OpenAI in January and AWS in March.
Cerebras’ architecture is particularly well-suited for this kind of workload. Traditional GPU clusters introduce latency through inter-chip communication. Data has to hop between multiple processors, and each hop adds time. Cerebras’ wafer-scale approach puts everything on a single massive chip, eliminating most of those hops entirely.
