Self-hosted AI

Private LLM Server

Run Private LLM Server as a production-ready hosted service, without maintaining Docker, SSL, reverse proxy rules, backups, or server updates yourself.

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Docker runtime SSL included NVMe storage Managed handoff
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What it is

Private LLM Server hosted by Hosthink

Private LLM Servers are dedicated environments for organizations that need local inference, controlled data flow, and no dependency on public AI endpoints.

What it isSelf-hosted LLM infrastructure for privacy-first teams and regulated workloads.
Who it is forBuilt for teams that want self-hosted application control with a managed infrastructure baseline.
Why hosted mattersLaunch the app on a managed baseline instead of spending engineering time on Docker, SSL, backups, and server upkeep.
Pricing

Start with Private LLM Server today

A simple monthly hosted app plan with SSL, managed deployment, panel handoff, and optional AI or outbound mail add-ons when you need them.

Private Starter

$249/mo
Single GPU ready
Small teamsGPU inventory and final sizing confirmed before deploymentPrivate AI stack handoff available
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Private Pro

$599/mo
High VRAM option
Production useGPU inventory and final sizing confirmed before deploymentPrivate AI stack handoff available
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Private Advanced

$1299/mo
Multi-GPU ready
Enterprise AIGPU inventory and final sizing confirmed before deploymentPrivate AI stack handoff available
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Why hosted by Hosthink

Infrastructure, security, and handoff are handled

Hosthink treats the application as part of your infrastructure stack, with predictable resources and a clear operational handoff after ordering.

01

Managed deployment

Provisioned through the existing Hosthink onboarding flow with app panel details delivered after setup.

02

SSL and secure access

Each hosted app is designed around a secure panel URL instead of an exposed hobby install.

03

Docker isolation

The app runs as a standardized hosted workload with resource limits and a predictable service boundary.

04

Backup-ready storage

Persistent app data is placed on NVMe-backed infrastructure with a managed operational baseline.

Use cases

Real workflows this supports

These are practical deployment patterns for teams using Private LLM Server inside AI, automation, internal tools, and operations stacks.

Internal operations

Run a private workspace for day-to-day systems your team depends on.

AI workflow support

Connect the app into agent, automation, dashboard, or knowledge workflows.

Client-facing delivery

Launch a clean hosted panel for service delivery, reporting, or support workflows.

Prototype to production

Move faster without turning every proof of concept into a server maintenance task.

Infrastructure

Built on a production-minded hosting baseline

Private LLM Server runs on Hosthink-managed infrastructure with NVMe storage, optimized networking, Docker-based deployment, SSL, and isolated resource allocation. The goal is not to hide the infrastructure; it is to make the important parts predictable from the first day.

NVMe SSD storage for responsive app panels and persistent data. Docker-based service packaging for clean deployment and repeatable operations. Upgrade path when memory, CPU, storage, or workload intensity increases.
production workload preview Private LLM Server Private LLM Server interface screenshot in browser mockup
Features

Application and hosting features

01

Private LLM runtime

Included in the application experience or the managed hosting environment for this product.

02

Dedicated hardware

Included in the application experience or the managed hosting environment for this product.

03

Offline-capable design

Included in the application experience or the managed hosting environment for this product.

04

GPU acceleration options

Included in the application experience or the managed hosting environment for this product.

05

Secure network options

Included in the application experience or the managed hosting environment for this product.

06

Managed deployment support

Included in the application experience or the managed hosting environment for this product.

07

Managed onboarding

Included in the application experience or the managed hosting environment for this product.

08

Resource upgrade path

Included in the application experience or the managed hosting environment for this product.

Hosted vs self-hosted

Keep control of the tool, remove the maintenance drag

The open-source app is still yours to configure. Hosthink focuses on the deployment, resource baseline, SSL, and operational setup around it.

Manual self-hosting

Choose a server, install Docker, wire environment files, volumes, and restart policies. Configure DNS, TLS certificates, reverse proxy rules, firewall behavior, and backups. Own updates, incidents, resource tuning, and recovery whenever the app becomes important.

Private LLM Server hosted by Hosthink

Start from the hosted app order flow and connect to the right product package. Receive a clean application panel with SSL, Docker deployment, and persistent storage baseline. Scale the hosted package as workload grows instead of rebuilding the stack.
Technical specs

Production baseline

01

Dedicated server options

Configured as part of the Hosthink deployment model for this product family.

02

GPU acceleration available

Configured as part of the Hosthink deployment model for this product family.

03

NVMe SSD storage

Configured as part of the Hosthink deployment model for this product family.

04

Private access design

Configured as part of the Hosthink deployment model for this product family.

05

Linux deployment

Configured as part of the Hosthink deployment model for this product family.

06

Automated provisioning

Configured as part of the Hosthink deployment model for this product family.

07

Service monitoring baseline

Configured as part of the Hosthink deployment model for this product family.

08

Client-area handoff

Configured as part of the Hosthink deployment model for this product family.

Recommended stack

Pair it with the right Hosthink products

Most production AI and app workflows combine a builder, data layer, dashboard, monitoring, or private inference backend.

1-click OpenClaw

A hosted control plane for internal apps and service operations.

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1-click Uptime Kuma

Uptime checks, SSL monitoring, alerts, and status pages.

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1-click n8n

Workflow automation, webhooks, and API integrations in a managed n8n workspace.

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GPU vs CPU

GPUs change the shape of AI workloads

CPU-only inference can work for tiny models and background tasks, but interactive assistants, retrieval workflows, and larger local models need parallel acceleration to feel usable.

01

Lower response latency

GPU acceleration helps reduce wait time for chat, code, and agent loops where every generation step matters.

02

Larger model headroom

VRAM determines how comfortably quantized and full-size models can run with useful context windows.

03

Higher concurrency

Teams serving multiple users need predictable throughput, not a single workstation-style process.

04

Private deployment control

You choose the model, runtime, network exposure, and update rhythm instead of depending on an external AI platform.

Recommended workloads

Size the server around the model, not the headline

Small local models

7B-13B
Entry GPU / quantized
Internal assistant prototypesPrompt testing and light RAGSingle-team usage patterns

Production inference

30B-70B
High VRAM recommended
Knowledge assistantsAgent backends and API servingMore concurrency and context

Advanced AI stacks

Multi-GPU
Sized with engineering
Large private LLM deploymentsMultiple model endpointsEnterprise isolation requirements
Recommended stacks

Pair GPU infrastructure with hosted AI tools

Private AI servers handle inference. Hosted apps can provide the user interface, workflow builder, or internal data layer around it.

1-click OpenClaw

A hosted control plane for internal apps and service operations.

View

1-click Uptime Kuma

Uptime checks, alerts, and status pages.

View

1-click n8n

Workflow automation, webhooks, and API integrations.

View
FAQ

Common questions

Can this run without public AI APIs?
Yes. The point is to keep inference local when the selected model and hardware support it.
Do you help choose the model?
Yes. We can size hardware around the model family, VRAM needs, and expected concurrency.
How is Private LLM Server deployed?
Private LLM Server is provisioned as a managed Docker-based hosted application with SSL, persistent storage, and a secure application panel handoff.
Can I use my own domain?
Custom domain workflows depend on the final DNS and product setup, but hosted apps are designed around secure panel access and SSL-ready deployment.
Are backups included?
The hosted app baseline is backup-ready and positioned around protecting persistent application data. Exact backup behavior follows the active package and service configuration.
Can I connect external APIs and integrations?
Yes. The app remains configurable inside its own panel, so supported APIs, credentials, providers, databases, and integrations can be connected there.
Can I scale the resources after launch?
Yes. The model supports resource upgrades on request when memory, CPU, storage, or workload levels increase.
Is BYOK included by default?
Yes. Bring Your Own Keys (BYOK) is supported so you can connect your own AI provider credentials and app tokens in this hosted package.
Are Managed AI Access or email options included by default?
No. Managed AI Access is $4.99/mo and Agentic Mail is $2.99/mo as optional paid add-ons. Agentic Mail is outbound-only for reports, alerts, and workflow notifications; inbox access is not included.
Do I still control the application settings?
Yes. Hosthink manages the infrastructure layer, while your team controls the application-level configuration, credentials, users, and workflows.
Is this suitable for production use?
Yes, the page is positioned for production-minded hosted app usage: isolated resources, SSL, NVMe storage, Docker deployment, and a clear onboarding flow.
What happens after I order?
The order connects to the existing Hosthink onboarding flow. After payment confirmation, the app is provisioned and the panel details are handed off through the normal Hosthink process.
Private AI Servers

Private LLM Server Deploy with Hosthink

Keep the same Hosthink design, billing, and support flow while adding AI and app workloads to your infrastructure stack.

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