Qubrid AI, a leading full-stack AI platform company, has launched its Advanced Playground for Inferencing and Retrieval-Augmented Generation (RAG), powered by NVIDIA AI infrastructure, setting a new standard for high-speed, on-demand inferencing. Announced at NVIDIA GTC 2025 in Washington, D.C., the platform is designed to help developers and enterprises accelerate AI innovation through a frictionless, token-based system that bridges experimentation and deployment.
The Qubrid AI Playground provides instant access to powerful GPU resources, enabling users to deploy, test, and optimize open-source models, NVIDIA NIM models, and Hugging Face integrations with ultra-low latency. Simplifying the inferencing process allows teams to focus on building and refining AI applications without the burden of managing complex infrastructure or server configurations.
In addition, the Playground supports seamless RAG workflows, empowering developers to build context-aware, real-time AI systems that dynamically integrate external knowledge. The result is a flexible, scalable environment that drives faster iteration cycles and production-ready outcomes, making advanced AI accessible to a broader range of innovators across industries.
KEY QUOTE:
“Today’s AI landscape demands speed, flexibility, and simplicity — and our new Playground delivers exactly that. With token-based inferencing on NVIDIA AI infrastructure, we’re eliminating the friction between experimentation and deployment. Developers can now run any model and see production-level performance instantly, without managing servers or complex setups.”
Pranay Prakash, CEO, Qubrid AI
