Lovable plugs Cerebras into its vibe coding platform for faster AI
Lovable, the Swedish startup that converts plain English prompts into working apps and websites, just added Cerebras Systems to its infrastructure stack. The two companies have partnered to run Lovable’s most latency-sensitive AI workloads on Cerebras’ wafer-scale inference platform.
What Lovable Does
Lovable’s platform takes natural language input and produces functional apps and websites, a workflow the industry has started calling “vibe coding.” The company raised $330 million in a Series B round in December 2025, landing a valuation of $6.6 billion.
Why Cerebras
Cerebras built its reputation on wafer-scale chip architecture, where a single processor spans an entire silicon wafer rather than a small die. The bet is raw throughput and lower latency for inference workloads. For a platform like Lovable, where a user is waiting in real time for code to generate, inference speed is a direct product quality metric.
Lovable already counts OpenAI and AWS in its partnership portfolio. Cerebras now joins that list as the hardware layer for its most time-critical operations.
The Operator Angle
If you build on Lovable or use vibe coding tools to prototype products quickly, this partnership signals that the platform is investing in the underlying speed of code generation rather than just adding features. Faster inference means shorter wait times between prompt and output, which matters when you’re iterating on a product in real time.
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