work with large models,
free from computational constraints.
made for developers
kluster.ai is building a decentralized GPU infrastructure for running LLMs that automatically scales worldwide. Designed for developers, kluster.ai simplifies the deployment and management of AI workloads. Because it’s serverless, we remove the hassle of managing, maintaining, and scaling your own infrastructure, letting you to focus on building your AI applications.
Try our Batch API
Run asynchronous workloads for a fraction of the cost on large open weights models
Sign up to the Alpha release to obtain an API key
how it works.
kluster.ai abstracts the complexity of running AI on a distributed network with the use of our Adaptive Pipelines technology. This enables large models to run efficiently across a network of heterogeneous hardware, streamlining performance, ensuring scalability, and optimizing resource utilization.
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tensor fragments
We pack AI models so they can run on many different GPUs, using resources more efficiently.
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selective activation
We analyze your request and activate only the fragments that are essential for the result.
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compute scheduler
We determine the best sequence of GPUs to ensure stable and reliable performance each time.