Infrastructure Updated 2026-04
GPU Cloud
Definition
GPU Cloud provides on-demand graphics processors for training and running AI models without hardware investment.
See also in the glossary
A
AI Inference
Inference is the process of using a trained AI model to generate predictions or responses from new data.
D
Deep Learning
Deep Learning is a subset of Machine Learning using multi-layered neural networks to learn complex representations from raw data.
F
Fine-tuning
Fine-tuning is the process of retraining an existing AI model on a specific dataset to adapt it to a particular domain or task.
L
LLM (Large Language Model)
An LLM is an AI model trained on billions of texts, capable of understanding and generating human language.
Tools that use gpu cloud
Frequently Asked Questions
How much does GPU Cloud cost?
From $0.20/h for an RTX 4090 to $3+/h for an H100 on RunPod. AWS and GCP are 2-5x more expensive but offer more managed services.
Do you need a GPU to use AI?
No for APIs (ChatGPT, Claude). Yes to run models locally (Stable Diffusion, open source LLMs). GPU Cloud is the alternative to buying hardware.
