AI Controller

Install & Easily Manage GPUs, Deploy AI Packages or Fine-Tune and Train AI Models directly on Your On-Prem GPU Servers

Free 90-day Trial (No credit card required). Install now and start seeing the power of on-premises AI.

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* After 90-days free trial, you can decide to purchase at $99/year per GPU (not charged automatically)

Centralized GPU Management

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 

Fully integrated AI Factory Experience

Manage your interactions with popular AI models with intuitive user interfaces.

  • Fully Integrated into NVIDIA Enterprise catalog (NIM, CUDA, Nemo, etc.)  
  • Library of published Open-Source AI Models for tuning and inferencing available on-demand 
  • Fine-tune AI models on your local GPU server or scale across thousands of GPUs

Accelerate Deep Learning & Machine Learning Applications

No more headaches of managing AI packages. Even with factory loaded packages, it is hard to manage and update these packages manually. The AI Controller automates that for you.

  • One touch deployment of complete AI/ML Deep Learning packages (PyTorch, TensorFlow, Keras, etc.) 
  • Automated install and update for your discovery and research needs 
  •  Continuous addition of new open-source tools

Scalability and Flexibility through Hybrid Cloud

Adapt to changing demands and scale your data center infrastructure seamlessly. 

  • Utilize lightweight containers with GUI support, ensuring efficient resource utilization and enhanced user experience. 
  • Burst to Qubrid AI Hub (PaaS Cloud) as your demand increases to provide similar GPU capacity to your applications/workloads
  • Consistent experience using private AI infrastructure or the PaaS AI Hub, providing similar GPU management and AI Factory interaction 

Easy Installation & Setup

Simple installation steps – get started in minutes, Follow instructions here.

Minimum System Requirements

Ensure your system meets the following requirements to install Qubrid AI – DC Controller:

  • 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
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