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RunPod
RunPod
RunPod

RunPod

Eliminate GPU latency while keeping the budget under control

Categories

Model IA
Storage
security
Automation
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Description

This artificial intelligence makes it possible to launch, train and deploy AI models in a few seconds thanks to a cloud GPU distributed globally. RunPod allocates Nvidia H100, A100, or AMD MI300X cards on demand, billed per second, with no input or output fees. The fashion Serverless triggers workers that start under 250 ms and go up from zero to hundreds of nodes according to demand, eliminating costly overcapacities. An accurate dashboard delivers logs, metrics, and live analytics to track latency, usage, and budget. The NVMe network offers up to 100 Gbps and 100 TB of network storage for large data sets. A CLI simplifies deployment and updates, while SOC2 compliance ensures security enterprise-level. By managing infrastructure, RunPod accelerates every work process for data scientists, researchers, and product teams, freeing up time for innovation.

Plan prices

Basique

Advanced

Pro

9999
Waiting list
€/month
Reserve
A demo
Gratuit
9999
When using
€/month
Gratuit
Icon cross
Reserve
A demo
9999.0
When using
Gratuit
Icon cross
€/month
Reserve
A demo

Features

PC software
API
Computer icon
Web app

Who is using this AI?

Enterprise
Startup
Developer

Features

Super-fast startup of GPU pods

The platform is launching a GPU pod in a few seconds thanks to Flashboot. This speed gain allows Data scientists to multiply the cycles of prototyping and to validate their templates without waiting, thus reducing costs and deadlines.

Serverless inference with automatic scale-up

The service Serverless execute each query with a booting under 250 ms. The GPU Go big instantly scale then fall again when demand weakens. Billing based onreal use keeps budgets under control.

Global catalog of flexible and economical GPUs

A vast choice of GPU NVIDIA and AMD available in 30 more regions meets every need, from local testing to long-term training. Of containers public or private settings configure the ideal environment. Les hourly rates competitive ones avoid unnecessary expenses.

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