Definition and core goals of Kluster.ai
Kluster.ai is an AI inference platform designed for developers focused on providingEfficient and low-costs large-scale AI processing solution. The platform is capable of dynamically adjusting computational resources through innovative adaptive reasoning technology, combining highly efficient batch processing capabilities with real-time processing capabilities with sub-second response.
Its core objectives areBreaking down the twin barriers of technology and cost, specifically:
- Democratization of Technology:Lowering the barrier to using AI technology by simplifying API design and providing developer tools
- Cost optimization:Adopt flexible resource scheduling mechanism to significantly reduce the computation cost of enterprise AI reasoning
- Industry Empowerment:Support the deployment of AI applications in multiple fields, from healthcare to finance, and promote intelligent transformation in various industries
The platform's current launch of a $100 DeepSeek-R1 credit (about 167 million tokens) typifies its cost advantage.
This answer comes from the articleKluster.ai: low-cost AI inference platform, sends 100$ DeepSeek-R1 credits, ~167 million tokens!The
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