Partnership brings industry-leading Cerebras inference to one of the world’s fast-growing AI software creation platforms, enabling more interactive software development experiences
Lovable and Cerebras Systems announced a partnership to power Lovable’s software creation platform with the world’s fastest inference platform built by Cerebras. Under the agreement, Lovable will run selected latency-sensitive workloads on dedicated Cerebras capacity, and the two companies will explore product experiences that faster inference makes possible.
Since its launch in November 2024, more than 50 million projects have been built on Lovable—internal tools, new product lines, entire companies—by the people closest to the problems that software is meant to solve. That work depends on inference speed. Every instruction, every revision, every correction is a round trip to a model, and the wait between them is where momentum is lost.
Cerebras built its Wafer-Scale Engine to remove speed as a constraint on what AI can do. Where GPU-based systems split a model’s weights across many chips and pay a networking tax on every token, the Wafer-Scale Engine keeps an entire model’s weights on a single wafer. This delivers far greater memory bandwidth than the fastest GPU and generating tokens fast enough to make multi-step AI workflows feel instantaneous.
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That speed will be available to the millions of people who have built projects on Lovable. By dramatically reducing response times, Cerebras will enable developers and business users alike to stay in flow, transforming software creation from a sequence of waiting periods into a seamless, interactive experience.
“Lovable was built on the idea that the person closest to a problem should be able to solve it,” said Anton Osika, co-founder and CEO, Lovable. “Cerebras helps us make Lovable respond as fast as our customers think, so instead of wondering if an idea’s worth trying, they just build it. Our users deserve infrastructure that keeps up with how they work.”
Creating software is not a single request but a chain of them—planning, scaffolding, writing components, catching an error, rewriting. Each link is a decode-bound workload, where output tokens must be produced one after another, and where GPU-based inference is at its slowest. This is precisely the workload the Wafer-Scale Engine was designed to accelerate: by keeping model weights and compute on a single wafer, Cerebras delivers orders of magnitude more memory bandwidth than the fastest GPU, turning what used to be a batch process into something that feels conversational and interactive at every step of the chain.
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“Fast AI is more valuable than slow AI. When AI responds in real-time, users do more with it, stay longer, and run higher value workloads. Software creation is one of the clearest examples of the importance of speed,” said Andrew Feldman, CEO and co-founder, Cerebras. “Creators don’t want to wait. Lovable has already put building software into the hands of millions of people. At Cerebras, we make the AI so fast that users are delighted by the experience.”
The collaboration marks another step in Cerebras’ expansion into new AI-native markets, demonstrating how ultra-fast inference enables entirely new categories of interactive applications beyond traditional enterprise AI.
The companies are jointly exploring product experiences that faster inference makes possible. Further details, including technical results and availability, will be shared as the work progresses.
