From On-Prem to Data Centers

Building High-Quality, Up-to-Date Data for Smarter Decision-Making Models

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  Training

  Training an AI model involves exposing it to large datasets, enabling it to learn patterns and perform specific tasks accurately by adjusting its internal parameters. Rivos provides high-performance scalable solutions  that balance performance with energy-efficiency.

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  Fine Tuning

  Fine-tuning involves adapting a pre-trained model by retraining it on your specific data, improving accuracy and performance for your unique application or task. Rivos’ air-cooled solutions can bring fine-tuning to On-Prem installs, while scaling to enable CSP fine-tuning services.

   

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  RAG

  Integrating external knowledge sources enables context-rich AI responses by combining pre-trained models with real-time retrieval. Rivos supports scalable databases with improved accuracy and faster request serving. AI LLMs and Data Analytics co-exist in one solution. 

Turning High-Quality Data into Optimal Inferences and Decisions

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  Inference LLMs

  Generating a response from a trained LLM by processing user queries or prompts, delivering context-aware, intelligent, and relevant outputs. Rivos enables scalability to increase the number of users that can be supported while improving user experience in an energy-efficient way.

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  Reasoning LLMs

  Analyze and connect information to interpret context, draw logical conclusions, and generate coherent, task-relevant outputs for complex decision-making. Rivos brings near-real time user experience with improved repeat-user services.

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  Agentic AI

  Autonomous systems that perceive their environment, make informed decisions, and take goal-directed actions with minimal or no human intervention. Rivos brings a programmable solution that can adapt to evolving Agentic AI requirements.