Compute with a purpose
Match compute and accelerator memory to your model, dataset, and performance goals.
COMPUTE BEYOND CONVENTION
Big ideas.
Intelligent
infrastructure.
Give your AI the power to go further.
Purpose-built hosting for models, applications,
and everything you’re imagining next.
GPU COMPUTEMODEL INFERENCEAI APPLICATIONS
01 / THE NEXT WAVEHuman imagination. Machine potential.
YOUR IDEAS.
MORE POSSIBILITIES.
BUILT AROUND YOUR AMBITION
Less friction.
More intelligence.
From your first experiment to your next production application, start with infrastructure that fits the way you build.
Your tools. Your workflow.
Plan around the frameworks, containers, and development environment your team already uses.
Room for the next step
Shape your hosting around changing workloads, from experimentation to serving real users.
A HOME FOR EVERY WORKLOAD
Built for your kind of AI.
Three starting points.
One ambition: bring your ideas to life.
01 / COMPUTE
GPU Cloud
For teams turning large datasets into new possibilities.
- Model training & fine-tuning
- Accelerated data processing
- Research & experimentation
02 / INFERENCEFROM MODEL TO PRODUCT
Model Hosting
Bring the intelligence you’ve built into the applications people use.
- Language model inference
- Image & voice generation
- Private model endpoints
03 / APPLICATIONS
AI App Hosting
A foundation for applications with intelligence at their core.
- AI assistants & agents
- Search & RAG applications
- APIs & background workers
Hosting configurations, hardware availability, and pricing are confirmed for each deployment.
START WITH WHAT YOU’RE BUILDING
Different ideas.
The right foundation.
Choose your workload to see what matters when planning your infrastructure.
WORKLOAD BRIEF/ inference
TURN MODELS INTO EXPERIENCES
Ready for the
next request.
Serve predictions, generate content, or power a conversational experience with a dedicated model endpoint.
- Plan around
- Model size & concurrent requests
- Prioritize
- GPU memory & response latency
- Hosting fit
- Model Hosting
Your model. Your next possibility.
A LITTLE MORE CLARITY
Before you build.
Which hosting option fits my AI project?
Start with GPU Cloud for training, Model Hosting for serving model outputs, or AI App Hosting for the application around your AI. Some projects need more than one layer.
Does every AI application need a GPU?
No. An application that calls an external AI API may only need CPU hosting. Running or training your own models can require GPUs, depending on model size and performance requirements.
What should I prepare before choosing a configuration?
Bring your model name and size, dataset or storage needs, expected traffic, preferred region, and budget. For inference, include your latency target and expected concurrent requests.
How is an AI hosting configuration priced?
Pricing depends on the selected compute, accelerator, memory, storage, bandwidth, and support requirements. Confirm the full configuration and its recurring costs before ordering.