Qubrid AI, a top full-stack AI platform, has launched its Advanced Playground. This new feature focuses on Inferencing and Retrieval-Augmented Generation (RAG). This platform uses NVIDIA AI infrastructure to provide excellent performance, scalability, and efficiency. Qubrid AI announced at the NVIDIA GTC Conference in Washington, D.C. They showed how their token-based inferencing model is transforming AI for developers and businesses.
The Qubrid AI Advanced Playground addresses major challenges in AI inferencing. These include latency, complexity, and costs. It uses a pay-as-you-go, token-based system. This lets you quickly access compute and inference resources. Users can easily deploy, test, and optimize open-source models. They can also use NVIDIA NIM microservices and Hugging Face models on NVIDIA AI infrastructure. This speeds up innovation while reducing overhead.
“Today’s AI landscape demands speed, flexibility, and simplicity and our new Playground delivers exactly that,” said Pranay Prakash, CEO of Qubrid AI. “With token-based inferencing on NVIDIA AI infrastructure, we’re eliminating the friction between experimentation and deployment. Developers can now run any model, get low-latency inference, and see production-level performance instantly all without managing servers or complex setups.”
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Qubrid AI’s platform is different from traditional inference systems. It doesn’t need manual setup or cause vendor lock-in. Instead, it gives a self-service, on-demand experience. It also automatically scales with model size, token usage, and workload intensity. Developers can easily add their own data to RAG workflows. This helps create real-time, context-aware, and explainable AI performance in various applications.
Key Capabilities of the Qubrid AI Advanced Playground
The Advanced Playground integrates seamlessly with Qubrid AI’s full-stack AI platform, empowering users to:
Run any model instantly – from open-source LLMs to computer vision models – using NVIDIA-accelerated computing for ultra-low latency.
Infer on demand with a token-based pricing model and serverless API, delivering predictable costs and maximum flexibility.
Create and launch RAG workflows. These workflows bring in enterprise or proprietary data. This improves accuracy and relevance.
Move seamlessly from experimentation to production with one-click deployment, eliminating traditional development-to-deployment barriers.
Serve and optimize NVIDIA NIM microservices with Hugging Face models in a GPU-friendly setup.
The launch of the Qubrid AI Advanced Playground is a big step in making powerful AI infrastructure easier to access. Qubrid AI connects innovation and production. This helps developers and businesses use NVIDIA’s strong AI technology easily. There are no complex processes, high costs, or limits on scalability.