Cloud Service Provider
Cloud Service Providers (CSPs) are delivering AI-focused services to more users than ever before, but scaling these services brings additional challenges. To maximize ROI on AI hardware investments, CSPs need solutions that can scale across diverse user bases and service types.
Rivos offers flexible, energy-efficient hardware paired with a unified software stack that seamlessly integrates with your existing infrastructure. This combination simplifies operations, lowers overhead costs, and provides comprehensive support across the entire deep learning lifecycle, from Training and Reasoning to Agentic AI applications.
Critical Success Factors for AI Services in Cloud Service Providers
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Maximizing User Capacity
Maximize concurrent user capacity across diverse use cases, models, and services, scaling seamlessly to meet growing demand without sacrificing the individual user experience.
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Maximizing User Experience
Deliver fast, low-latency responses that elevate user experience while optimizing operational costs. Providing diverse models and services with the agility to evolve alongside user demands and emerging AI innovations.
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Minimizing Operational Costs
Extend hardware value with flexible scaling and multi-model support, adapting to changing user demands. Reduce cost per token while balancing service delivery costs, across the entire hardware and service lifecycle.
Benefits of Working with Rivos
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Flexibility
Cloud service providers need highly adaptable AI solutions to keep pace with evolving user demands. Rivos enables a wide variety of AI LLMs, supporting diverse use cases, performance needs, and customized workflows. All running on a flexible, programmable platform built for seamless scalability.
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Cost Efficiency
Maximizing cost efficiency is critical for CSPs. Rivos reduces total cost of ownership (TCO) by seamlessly integrating with existing infrastructure, simplifying hardware adoption, and optimizing energy use, boosting ROI while enabling scalable AI services.
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Model Diversity and Data Quality
CSPs must support a growing variety of AI models, including those that improve data quality. Rivos unifies advanced analytics, fine-tuning, RAG, inference, and training in a single platform, empowering CSPs to deliver superior AI performance and reliability.
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Scalability
To manage unpredictable user growth and fluctuating workloads, CSPs require infrastructure that can scale without costly over-provisioning. Rivos provides flexible performance that adapts seamlessly for both new and returning users, ensuring consistent, high-quality AI services as use cases evolve and demand varies.