Deliver Generative AI (GenAI) models as a service in a scalable, secure, and cost-effective way–and unlock high margins–with Rafay’s turnkey Serverless Inference offering.
Available to Rafay customers and partners as part of the Rafay Platform, Serverless Inference empowers NVIDIA Cloud Partners (NCPs) and GPU Cloud Providers (GPU Clouds) to offer high-performing, Generative AI models as a service, complete with token-based and time-based tracking, via a unified, OpenAI-compatible API.
With Serverless Inference, developers can sign up with regional NCPs and GPU Clouds to consume models-as-a-service, allowing them to focus on building AI-powered apps without worrying about managing infrastructure complexities.
Serverless Inference is available AT NOT ADDITIONAL COST to Rafay customers and partners.
Rafay’s Serverless Inference offering brings on-demand consumption of GenAI models to developers, with scalability, security, token- or time-based billing, and zero infrastructure overhead.
Instantly deliver popular open-source LLMs (e.g., Llama 3.2, Qwen, DeepSeek) using OpenAI-compatible APIs to your customer base—no code changes required.
Deliver a hassle-free, serverless experience to your customers looking for the latest and greatest GenAI models.
Flexible usage-based billing with complete cost transparency and historical usage insights.
HTTPS-only endpoints with bearer token authentication, full IP-level audit logs, and token lifecycle controls.
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Aviz ONES, NVIDIA Spectrum-X Ethernet, and the Rafay Platform deliver a unified solution turning GPU fabrics into governed, cloud-native environments, instantly consumable.
Enterprises and Cloud Providers leverage the Rafay Platform to deliver self-service consumption of AI and cloud-native infrastructure to developers and data scientists.
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
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“Rafay’s central orchestration platform facilitates efficient, self-service infrastructure and AI application management” writes Accenture | NVIDIA in 2025 Building AI Value Within Borders paper.
Learn how to accelerate the ROI of your GPU infrastructure by quickly delivering a fully functional GPU Cloud with the self-service workflows and infrastructure orchestration of the Rafay Platform.
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This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
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As a sponsor of Gartner IOCS 2025, Rafay highlights why modern I&O needs a platform operating model to keep pace with cloud-native and AI workloads.
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The Rafay Partner Elevate Program is designed to empower our global ecosystem of partners from resellers and system integrators to managed service providers, to deliver cutting-edge AI, cloud, and Kubernetes outcomes faster and more profitably.
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This blog details the specific features of the Rafay Platform Version 4.0 Which Further Simplifies Kubernetes Management and Accelerates Cloud-Native Operations for Enterprises and Cloud Providers
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See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
