Accelerating Generative AI from Concept to Production – Run, Fine-Tune and Deploy AI Models On-Prem or in GPU Cloud

Qubrid AI is a single platform to inference, fine-tune & train AI models on GPU Cloud or On-Prem Server infrastructure. Designed for productivity users and advanced AI developers, you can do simple tasks such as designing a logo to advanced cancer research and IoT operations.

Introduction to Qubrid AI
Launch a GPU Instance
How to Fine-tune AI Models

AI Model Studio

Tip: Learn how to create a cool logo in 5 steps using Stable Diffusion AI Model

Tip: Learn how to fine-tune Meta Llama 3 AI Model

GPU Cloud

Choose from ready templates or create your own instance with GPUs such as NVIDIA H100, A100 etc and AI packages, Jupyter Notebook etc

On-Prem AI Controller Software

Tip: Learn how to install the AI Controller on your NVIDIA GPU servers

AI in a Box

“The Qubrid Platform has shown outstanding performance and reliability in various computational tasks. In higher dimensional matrix multiplication, it displayed a smooth increase in execution time while consistently producing accurate results, demonstrating its efficiency in handling complex mathematical operations. Similarly, in evaluating large linear regression models, the platform proved its ability to deliver stable and reliable performance, a critical factor for predictive analytics and data modeling. Overall, the Qubrid Platform stands out in its ability to manage diverse computational tasks with stability, accuracy, and scalability.”

AI Researcher, Rochester University

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