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.
AI Model Studio
Instantly Generate Images, Logos, 3D Visualizations, Develop Code or Run Text Queries
Tip: Learn how to create a cool logo in 5 steps using Stable Diffusion AI Model
No-Code and Pro-Code Fine-tuning and deployment using your own data
Tip: Learn how to fine-tune Meta Llama 3 AI Model
Pre-trained Models
Jumpstart your project with a library of industry-leading models for tasks like image recognition, natural language processing, and more
Frictionless Model Building
Craft your own custom models with a user-friendly, code-optional interface
Advanced Training and Tuning
Fine-tune pre-trained models or your own creations with robust optimization tools and access to high-performance compute resources
Seamless Deployment
Integrate trained models into your applications with a few clicks, accelerating the path to market
GPU Cloud
Deploy AI Workloads on On-Demand or Reserved GPU Cloud Instances
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
Easily Manage GPUs, Deploy AI Packages or Fine-Tune directly on Your On-Prem GPU Servers
Tip: Learn how to install the AI Controller on your NVIDIA GPU servers
AI in a Box
Ready to Deploy AI Appliances – Plug and Play Turnkey systems
“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