GPU/Neocloud Billing using Rafay’s Usage Metering APIs
Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.
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2025-09-13
Serverless Inference for GPU & Sovereign Cloud Providers
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.
Key Capabilities of Serverless Inference
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.
Plug-and-Play LLM Integration
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.
Serverless Access
Deliver a hassle-free, serverless experience to your customers looking for the latest and greatest GenAI models.
Token-Based Pricing & Visibility
Flexible usage-based billing with complete cost transparency and historical usage insights.
Secure & Auditable API Endpoints
HTTPS-only endpoints with bearer token authentication, full IP-level audit logs, and token lifecycle controls.
Why DIY when you can FLY with Rafay's Serverless Inference offering?
Pre-optimized inference templates
Intelligent auto-scaling of GPU resourcesread more
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Enterprise-grade security and token authentication
Built-in observability, cost tracking, audit logs
Featured Resources
Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
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The CIO’s guide to scalable, compliant, and developer-ready AI deployment
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.
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Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
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Gartner® Report – Market Trend: CSPs’ Opportunity to Capitalize on AI Infrastructure Through GPU as a Service
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
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Building AI Value within Borders
“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.
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GPU Cloud Evaluation Report
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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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
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.
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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
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.
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10 Multi-Tenancy Best Practices for Namespaces as a Service (NaaS)
The white paper promises to delve into Kubernetes multi-tenancy best practices, aiming to guide organizations in leveraging Kubernetes effectively for improved resource utilization and cost efficiency.
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"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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Deep Dive into nvidia-smi: Monitoring Your NVIDIA GPU with Real Examples
Whether you’re training deep learning models, running simulations, or just curious about your GPU’s performance, nvidia-smi is your go-to command-line tool.
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2025-08-24
Try the Rafay Platform for Free
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!
