DEDICATED GPU ACCESS
NVIDIA GPU instances reserved for your workload, no sharing, no noisy neighbors, consistent performance for training and inference.
AI & GPU Hosting
Dedicated GPU compute for training and inference.
NVIDIA GPU instances with PyTorch, TensorFlow, and CUDA preinstalled. Train models, run inference, and deploy serving endpoints without managing infrastructure yourself.
Dedicated GPU accessno sharing, no noisy neighbors
Pre-built ML imagesPyTorch, TensorFlow & CUDA preinstalled
Choose a plan that's right for you
Every plan includes pre-built ML images and Jupyter notebook access. Scale up for training runs, scale down when you're done.
| AI & GPU Hosting | Starter | Professional | Enterprise |
|---|---|---|---|
| GPU | 1x T4 16GB | 1x A10G 24GB | 1x A100 80GB |
| vCPU | 4 | 8 | 16 |
| RAM | 16 GB | 32 GB | 128 GB |
| Storage | 100 GB NVMe | 250 GB NVMe | 1 TB NVMe |
| Pre-built ML images | ✓ | ✓ | ✓ |
| Jupyter notebook access | ✓ | ✓ | ✓ |
| Model serving endpoint | × | ✓ | ✓ |
| Autoscaling inference | × | × | ✓ |
| Priority queue | × | ✓ | ✓ |
| $249.00/moOrder Now | $799.00/moOrder Now | $2,499.00/moOrder Now |
Key Features
PRE-BUILT ML IMAGES
PyTorch, TensorFlow, and CUDA drivers preinstalled. Launch a notebook or training job in minutes, not hours of environment setup.
SCALE ON DEMAND
Spin up additional GPU nodes for a training run, then scale back down. Pay for compute only while you're using it.
MODEL SERVING ENDPOINTS
Deploy trained models behind an autoscaling inference endpoint with built-in request logging and monitoring.
Frequently Asked Questions
Which GPUs are available?
Starter plans run on NVIDIA T4 GPUs, ideal for inference and smaller training jobs. Professional plans step up to A10G GPUs, and Enterprise plans include A100 80GB GPUs for large-scale training and high-throughput inference.
Do you support my ML framework?
Yes. Our images ship with PyTorch, TensorFlow, and CUDA preconfigured. If you need a custom environment, you can bring your own container image.
Can I scale up for a single training run and back down after?
Yes. GPU nodes can be provisioned on demand and billed hourly, so you can scale up for a training run and scale back down once it completes.
How does model serving work?
Professional and Enterprise plans include an inference endpoint that wraps your trained model behind an autoscaling API, with request logging and latency monitoring included.
At your service
- Our support agents are available 24/7/365 days a year.
- Guidance on choosing the right GPU tier for your workload.
Have Questions?
- Toll Free: 1-800-793-4505
- Email: [email protected]
- Fax: +1 714 442 9495
Ready to get started?
Dedicated GPU compute for training and inference — starting at $249.00/mo.
Get started now