Self-Hosted vs Managed Hosting: Which Fits Your 3D XR Streaming Needs?

#xr #3d #larkxr

Delivering immersive, high-performance 3D and XR experiences demands a streaming platform that adapts seamlessly to your unique needs. At Paraverse Technology, LarkXR empowers you with two powerful hosting options—self-hosted infrastructure and managed hosting—each designed to provide flexibility, scalability, and control tailored to your project and business goals.

Understanding these options, along with how to select the right number of Concurrent Users (CCUs) and the best package for your needs, is crucial to maximizing your application’s performance and cost-efficiency. This guide will help you navigate your choices confidently.

Self-Hosted Infrastructure

Full Control. Maximum Flexibility.
If your organization has in-house technical expertise, existing GPU resources, or strict compliance and data governance requirements, the LarkXR License lets you deploy the platform on your own infrastructure — whether on-premises servers, private cloud, or your preferred GPU cloud provider.

What this means for you:

Complete control over your hardware, network topology, and where your data resides
Cost optimization by leveraging your existing GPU machines (often already used for development) for streaming workloads
Advanced GPU pooling and scheduling to efficiently support many concurrent users on your infrastructure
Full customization with branding and deep API integration to fit your workflows
Scalable architecture capable of supporting thousands of concurrent users with cluster management
Unlimited streaming minutes, apps, and sharing links with adaptive resolutions up to 8K

This option is ideal if you want to maximize control, meet strict security or compliance standards, or plan for long-term scaling while optimizing infrastructure costs.

Managed Hosting

Focus on Innovation, Leave Infrastructure to Us

For teams looking to move fast without managing infrastructure, our Managed Hosting Service offers a fully hosted, global cloud XR platform. Paraverse handles GPU clusters, networking, storage, and scaling — so you can focus on building and delivering your 3D/XR applications.

What this means for you:

Instant setup by simply uploading your packaged application — no infrastructure management required
Global presence with rendering nodes across APAC, Americas, and EMEA to ensure ultra-low latency worldwide
Automatic scaling that adjusts resources dynamically to meet fluctuating user demand
Real-time analytics and monitoring through an intuitive console for operational insights
Dedicated support and continuous platform optimization to keep your streaming smooth
Flexible plans including free and Pro tiers with bundled CCUs, streaming minutes, and storage

Managed hosting is the fastest way to pilot or launch, perfect for indie developers, agencies, and enterprises seeking plug-and-play browser streaming without DevOps overhead.

Decoding Concurrent Users (CCUs)

Selecting The Right Capacity For Your 3D XR Streaming

Concurrent Users (CCUs) represent the number of simultaneous active streaming sessions your deployment supports. Selecting the right CCU count is essential for delivering smooth, uninterrupted experiences.

LarkXR License Plan Options

Tailored Solutions for Every Scale

Selecting Your LarkXR Hosting Solution: Self-Hosted or Managed?

Your choice between self-hosted and managed hosting — and the right CCU count — depends on your team’s technical capacity, budget, compliance needs, and growth plans:

- Self-Hosted is best if:
You have existing GPU infrastructure or cloud resources, require full control over data and environment, or plan large-scale, long-term deployments with optimized costs.

- Managed Hosting is best if:
You want to go live quickly without infrastructure management, need global reach with low latency, or prefer to focus entirely on application development and user experience.

Both packages leverage the same core LarkXR technology stack, ensuring consistent performance, multi-engine compatibility, and rich SDK/API integration regardless of deployment model.