GenAI Playgrounds

Drive Faster Generative AI Experimentation with GenAI Playgrounds

Provide developers with seamless access to LLMs, while
streamlining the experience of deploying, interacting with, and
managing Generative AI (GenAI) models

Start Now

Build enterprise-grade GenAI applications faster and at scale

Provide Curated LLMs for GenAI Development

Provide developers and data scientists with centralized API access to a curated list of enterprise approved, public cloud and self-hosted LLMs for use in their GenAI applications.

Deploy & Operate Self-Hosted LLMs

Allow 1-click deployments of self hosted LLMs such as Llama 3.1, Vicuna, and more from an integrated catalog with support for GPUs and auto scaling infrastructure

Integrated Data Pipelines

Seamlessly connect to internal and external data sources such as databases, cloud storage, and data lake systems. This ensures that the AI models are trained on accurate, up-to-date data, and simplifies the process of preparing datasets for training

Provide Prompt Lifecycle Management

Allow developers to iteratively design and evaluate LLM prompts, maintain history, compare performance and cost across models

Provide Cost Visibility & Governance

Get detailed insights into the costs associated with model usage, allowing teams to track costs down to individual projects, users, and models. This capability enables organizations to monitor and control spending, set budgets, and implement cost-saving measures while ensuring that resources are allocated efficiently

With pre-built models and tools readily available, GenAI playgrounds streamline the AI development process

By providing GenAI playgrounds to developers and data scientists, Rafay customers realize the following benefits: 

Accelerated AI Innovation

GenAI playgrounds from Rafay enable rapid experimentation and prototyping, allowing teams to quickly test and refine AI models, driving faster innovation and breakthroughs

Enhanced Creativity and Collaboration

By providing a shared environment for developers and data scientists, Rafay fosters cross-functional collaboration and unlock creative potential, leading to more diverse and innovative AI solutions

Optimized Resource Utilization

Rafay offers cost visibility and governance tools that help track and control model usage expenses, ensuring efficient allocation of resources and maximizing ROI in AI investments

Download the White Paper
Scale AI/ML Adoption

Delve into best practices for successfully leveraging Kubernetes and cloud operations to accelerate AI/ML projects.

Download Now

Most Recent Blogs

Image for Powering GPU Cloud Billing: Rafay + Monetize360 Integration

Powering GPU Cloud Billing: Rafay + Monetize360 Integration
June 16, 2025 / by Mohan Atreya

In the fast-evolving world of GPU cloud services and AI infrastructure, accurate, flexible, and real-time billing is no longer optional — it’s mission critical. That’s why Rafay has partnered with Monetize360 to deliver an end-to-end pricing, billing, and revenue management… Read More

Image for GPU/Neocloud Billing using Rafay’s Usage Metering APIs

GPU/Neocloud Billing using Rafay’s Usage Metering APIs
September 13, 2025 / by Mohan Atreya

Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption. Usage data becomes the foundation for billing, showback, or chargeback models that customers expect. The Rafay Platform provides usage metering APIs that can… Read More

Image for What is Agentic AI?

What is Agentic AI?
August 28, 2025 / by

Agentic AI is the next evolution of artificial intelligence—autonomous AI systems composed of multiple AI agents that plan, decide, and execute complex tasks with minimal human intervention. Unlike traditional artificial intelligence systems that operate within fixed boundaries and require human… Read More

Want Free Access?

Sign-up for free and try all the features
of the Rafay PaaS.

Sign Up Now