Summary:
- Rafay has launched a Serverless Inference offering to assist NVIDIA Cloud Partners and GPU Cloud Providers in delivering AI services efficiently.
- The offering includes features like seamless developer integration, intelligent infrastructure management, and enterprise-grade security.
- This solution enables a transition from GPU-as-a-Service to AI-as-a-Service, catering to the growing demand in the AI inference market.
Article:
Rafay, a leading provider in cloud infrastructure solutions, has recently introduced a groundbreaking Serverless Inference offering aimed at empowering NVIDIA Cloud Partners (NCPs) and GPU Cloud Providers to streamline the delivery of AI services. This innovative solution is designed to help these providers offer high-margin AI services swiftly and cost-effectively.
The Serverless Inference offering boasts a token-metered API that allows for the execution of both open-source and privately trained large language models (LLMs). Key features of this offering include seamless integration for developers, intelligent management of infrastructure, built-in metering and billing systems, enterprise-level security measures, and tools for enhanced observability.
By facilitating the transition from GPU-as-a-Service to AI-as-a-Service, Rafay’s Serverless Inference solution addresses the escalating demand in the AI inference market. This transition eliminates the complexity surrounding infrastructure, enabling developers and enterprises to seamlessly integrate generative AI workflows into their applications at an accelerated pace.
Haseeb Budhani, the CEO and co-founder of Rafay Systems, emphasized the significance of this new offering by stating, “The ability to rapidly consume GenAI models through inference endpoints is key to faster development of GenAI capabilities. This is where Rafay’s NCP and GPU Cloud partners have a material advantage.”
Moreover, this innovative solution signifies a shift towards more dynamic and scalable AI workloads that can operate in closer proximity to data sources. This shift not only reduces latency but also enhances real-time processing capabilities, potentially catalyzing the adoption of edge-based machine learning applications across various industries, thereby driving growth in edge AI inference markets.
With the global AI inference market forecasted to experience substantial growth, reaching $106 billion by 2025 and $254 billion by 2030, Rafay’s platform is strategically positioned to support multi-tenant GPU/CPU infrastructure. The platform is also set to incorporate fine-tuning capabilities for AI models in the near future, ultimately simplifying cloud-native and AI infrastructure management for customers like MoneyGram and Guardant Health who are already benefiting from Rafay’s innovative solutions.
In conclusion, Rafay’s Serverless Inference offering represents a significant step towards revolutionizing the AI-as-a-Service landscape, paving the way for more efficient and cost-effective delivery of AI services by NVIDIA Cloud Partners and GPU Cloud Providers.
