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
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
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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