QuantaOS Key Features
GPU-Accelerated Performance
Optimized for NVIDIA GPUs from RTX 4070 to H100, maximizing AI and ML workload efficiency.
AI Cluster Management
Easily create and manage scalable AI training clusters with Quanta Cluster Manager (QCM).
GPU Rental Marketplace
Monetize idle GPU resources through the integrated Quanta Compute Market (QCMkt).
Preloaded AI & Data Science Tools
Start immediately with preinstalled frameworks like PyTorch, TensorFlow, and RAPIDS.
Preloaded Demos
FaceFusion
Sample 4K video face swap showcasing real-time GPU-accelerated inference on Quanta-X5000 (RTX 4090).
Use Cases: video-editing, rendering-animation
Bolt
AI-generated neural network code optimized on Quanta-X6000 (RTX 6000 Ada), accelerating development.
Use Cases: data-science, ai-deep-learning
Use Case Optimization
ai deep learning
CUDA, cuDNN, Stable Diffusion, and QCM for scalable training on Quanta-A4000/A5000.
data science
RAPIDS, Anaconda, and Bolt for accelerated analytics on Quanta-D2000/X1000.
hpc clusters
QCM, GROMACS, and 100GbE support for distributed computing on Quanta-A3000/A5000.
molecular dynamics
GROMACS and A100/H100 optimization for simulations on Quanta-A4000.
video editing
Blender, FaceFusion, and RTX GPUs for real-time editing on Quanta-D2000/X7000.
rendering animation
Blender, Stable Diffusion, and multi-GPU support on Quanta-X9000.
simulation manufacturing
QRS and ECC RAM for precision workflows on Quanta-A2000/A5000.