Transform Your Server, Rack or Data Center into an AI Factory
Experience seamless AI infrastructure management with Qubrid AI Controller. This platform centralizes your GPU management, supports a comprehensive range of NVIDIA GPUs such as H100, A100, L40S etc, and ensures effortless OS and driver updates. Fine-tune and deploy AI models effortlessly using a fully integrated interface. Scale your deep learning and machine learning applications efficiently with automated package management and hybrid cloud scalability. Enjoy the flexibility to adapt to changing demands while maintaining a consistent AI factory experience.
Manage your entire data center GPU infrastructure from a single platform, simplifying operations and reducing complexity.
- Install on single GPU server or manage complete racked systems
- Support for complete list of NVIDIA GPUs – H100, A100, L40S and RTX 6000 ADA etc
- Update OS and required NVIDIA GPU drivers seamlessly to the latest versions
- GUI based management for your favorite NVIDIA-SMI Command actions
- Single dashboard to view all your AI infrastructure
- One touch deployment of complete AI/ML Deep Learning packages (PyTorch, TensorFlow, Keras, etc.)
- Run AI models directly from an easy to use interface
Minimum System Requirements
To install AI Controller successfully, ensure your Linux host meets the following requirements:
- NVIDIA Data Center GPU installed
- 64-bit kernel and CPU support for virtualization.
- At least 4 GB of RAM.
- Minimum 4 CPU Cores.
- Ubuntu 22.04 LTS
- Python 3.10 and above
Your license will be active for 3 years after sign-on to the AI Controller software after which you can renew annual subscription licenses. To download a trial version please visit this page.
