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Bounera services hub

Five core layers with clearer explanations and a real decision path

This page is not meant to be a price list. It should help your team understand which execution model fits now, what should stay simple, and where a stronger delivery layer starts to make sense.

Help me choose a serviceView documentation
Lean and predictable

VPS

Bounera VPS gives teams a stable environment, predictable cost and root access for lightweight to medium services and staging environments.

active layerready
Predictable cost for steady workloads
Root access for full control over the environment
Open service page
GPU-ready compute

AI infrastructure

Bounera AI Infrastructure is for teams running machine learning workloads that need GPU-ready compute, repeatable model deployment and a runtime that matches the actual demands of inference and training.

active layerready
GPU-ready hardware for inference and fine-tuning across language, vision and embedding models
A good fit for teams serving inference APIs, running batch jobs or building ML pipelines
Open service page
Developer-ready runtime

Cloud containers

Bounera Cloud Containers help teams deploy Docker-based workloads with a cleaner, faster and more repeatable workflow.

active layerready
Fast deployment for Docker-based services
A strong fit for API, worker and service-oriented teams
Open service page
Managed IaaS

IaaS

Bounera IaaS helps software and infrastructure teams run modern delivery, observability and assurance on top of one coordinated execution layer.

active layerready
Built for software and platform teams with multi-service delivery paths
Aligned with CI/CD, observability, rollback thinking and governance
Open service page
Live broadcast

Live streaming

Bounera Live Streaming helps education, media and product teams run stable live sessions with better technical readiness and viewer experience.

active layerready
Designed for webinars, events and media-driven live sessions
Centered on stability and technical readiness
Open service page
Selection guide

If you are still comparing options, start from this logic

The right decision does not always start with the most complex or expensive option. It starts with the service that fits the team today without blocking tomorrow.

If you need a lean and fast start

VPS is often the cleanest starting point for teams that want to move quickly without a heavier operating model.

If you need a fuller execution layer

IaaS becomes the better fit when architecture, rollout, observability and assurance need to sit together.

If you want a faster application platform

PaaS is the better fit when the team wants a cleaner deployment and runtime path without taking on the full operating depth of IaaS from day one.

If you have AI workloads

AI infrastructure fits teams running language or vision models, serving inference APIs, or needing GPU-ready compute for ML workloads.

If your delivery path is image-first

Cloud Containers shorten the path for teams whose release model already revolves around images and repeatable deployment.

If you also need adjacent solutions

Live streaming, organizational tooling and managed operations can be layered on once the main execution rail is clear.

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  • زیرساخت AI
  • کانتینر ابری
  • IaaS

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