GPU Computing
GPU Cloud on CreateOS
Rent GPU instances for AI/ML training, inference, and rendering. Access NVIDIA GPUs on-demand with pay-as-you-go pricing on decentralized infrastructure.
Available GPUs
NVIDIA A100
80 GB HBM2e
Large model training
NVIDIA A10G
24 GB GDDR6
Inference & rendering
NVIDIA T4
16 GB GDDR6
Cost-effective inference
NVIDIA L4
24 GB GDDR6
Video & AI workloads
Use Cases
Large language model (LLM) training
Computer vision model training
Real-time AI inference
Image and video generation
Scientific computing
3D rendering and simulation
Features
On-demand GPU instances
Pay-per-second billing
Pre-installed CUDA and cuDNN
PyTorch and TensorFlow ready
Jupyter notebook support
SSH access
Persistent storage
Auto-scaling for inference
Pricing
GPU pricing is usage-based and varies by GPU type. Pay only for what you use with per-second billing. Contact sales for enterprise volume discounts.
How It Works
1
Select GPU type
Choose the GPU that matches your workload requirements.
2
Deploy your code
Push your ML code, Dockerfile, or use a GPU-enabled template.
3
Run workloads
Train models, run inference, or process data on powerful GPUs.
4
Scale as needed
Scale up for training, scale down for inference, or run spot instances.