Via huggingface.co
The $6.6 billion AI app builder is off its most latency-sensitive workloads to Cerebras' wafer-scale chips, signaling a broader shift in how AI platforms think about hardware.
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.
Lovable’s $6.6 billion valuation already prices in significant growth expectations. Pairing with Cerebras could help justify that number by giving the platform a genuine technical moat. With OpenAI and AWS already in its partnership portfolio, adding a high-profile AI development platform like Lovable further cements that positioning.
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