#United States #Washington DC #Nvidia GTC #Qubrid AI #AI Playground

Qubrid AI Unveils Advanced Playground for High-Speed Inferencing

During the NVIDIA GTC 2025 event in Washington, D.C., Qubrid AI, a prominent full-stack AI platform, has introduced its Advanced Playground for Inferencing and Retrieval-Augmented Generation (RAG). This breakthrough technology is designed to revolutionize how developers and enterprises deploy and scale their AI applications, ensuring unmatched performance and efficiency.

Transforming AI Development

As AI technology continues to evolve, the demand for speed, flexibility, and simplicity has never been more critical. The introduction of Qubrid AI's Playground directly addresses these needs by enabling on-demand, token-based inferencing that operates on the robust NVIDIA AI infrastructure. With this model, the stage is set for developers to experience a seamless journey from experimentation to deployment without the load of managing complex setups or servers.

According to Pranay Prakash, CEO of Qubrid AI, "Today’s AI landscape demands speed, flexibility, and simplicity, and our new Playground delivers exactly that." The goal is to eliminate the friction that often exists between experimentation and deployment.

Features of the Advanced Playground

The Qubrid AI Playground introduces significant enhancements in AI inferencing, tackling issues like high latency, complex infrastructure, and unpredictable costs. Here’s what it brings to the table:

• - Pay-as-you-go Model: Users can access compute and inference services instantly, adapting to varying workloads without incurring unnecessary costs.
• - Immediate Model Deployment: Developers can deploy, test, and optimize popular open-source models, including NVIDIA NIM microservices and Hugging Face models, in a matter of seconds.
• - Low-Latency Inference: With token-based charging, users can achieve low-latency inference while maintaining production-level performance.
• - Self-Serve Experience: Unlike conventional inference systems that lock users to certain vendors, Qubrid's platform allows a self-serve, flexible experience that scales with model size and demand.
• - Enhanced RAG Workflows: Integrating proprietary and enterprise data for RAG workflows provides context-aware, accurate, and explainable AI outputs in real time.

A Unified Environment for AI Innovation

The powerful synergies created by Qubrid AI’s full-stack platform offer users the following capabilities:

• - Instant Model Execution: From open-source LLMs to vision models, users can run any model immediately with the support of NVIDIA’s accelerated computing.
• - On-Demand Inference: The token-based pricing structure provides maximum flexibility and predictable costs for developers.
• - One-Click Deployment: Users can transition smoothly from experimentation in the Playground to production deployment with just one click, bridging the gap between development and deployment.
• - Unified Access to Resources: The Playground also allows users to explore and fine-tune NVIDIA NIM microservices and Hugging Face models in a single, GPU-optimized environment.

Experience the Playground

The Qubrid AI Playground represents a significant milestone in making high-performance AI infrastructure accessible and efficient. It bridges the divide between innovation and production, harnessing the reliability of NVIDIA technology. The Playground is now active and can be accessed at Qubrid Platform. Attendees of NVIDIA GTC 2025 can also experience the Playground first-hand at Qubrid AI's booth I-4 from October 28th to 29th.

About Qubrid AI

Qubrid AI specializes in delivering a comprehensive AI platform, focusing on GPU cloud infrastructure, model inferencing, fine-tuning, and RAG capabilities. Aimed at developers, enterprises, and research organizations, Qubrid AI accelerates the transition from models to impactful outcomes by providing powerful computation, a token-based inferencing model, unified APIs, and intelligent orchestration for scalable AI innovation.