Infrastructure Aktualisiert 2026-04
GPU Cloud
Definition
GPU Cloud provides on-demand graphics processors for training and running AI models without hardware investment.
Siehe auch im Glossar
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, die gpu cloud verwenden
R
RunPod
GPU-Cloud für das Deployment Ihrer KI-Anwendungen
4.6/5
S
Stable Diffusion
Die Open-Source-Referenz für KI-Bildgenerierung
4.4/5
R
Replit
Cloud-IDE mit integrierter KI für das Programmieren von überall
4.5/5
O
OpenClaw
Der Open-Source-KI-Agent, der Ihre LLMs in autonome Arbeiter verwandelt
4.5/5
Häufig gestellte Fragen
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.