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.