GPU infrastructure

GPU AI Server

Infraestructura GPU dedicada para inferencia privada y backends de AI.

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Docker runtime SSL included NVMe storage Managed handoff
https://app.hosth.ink GPU AI Server GPU AI Server preview
What it is

GPU AI Server hosted by Hosthink

Infraestructura GPU dedicada para inferencia privada y backends de AI.

What it isInfraestructura GPU dedicada para inferencia privada y backends de AI.
Who it is forInfraestructura GPU dedicada para inferencia privada y backends de AI.
Why hosted mattersLaunch the app on a managed baseline instead of spending engineering time on Docker, SSL, backups, and server upkeep.
Workflow path

GPU AI Server setup path

A quick scan of the product flow before you move from page evaluation to a working Hosthink service.

01

Review GPU fit

Start from the GPU server family that matches the model, memory, and workload profile.

02

Confirm stack needs

Choose whether you need Ollama, DeepSeek, a private LLM stack, or a broader GPU AI server setup.

03

Prepare handoff

Hosthink keeps the setup path clear so the server can be connected to your AI workflow.

04

Adjust as usage grows

Move to a larger GPU or stack configuration when model size, concurrency, or storage needs change.

Pricing

Start with GPU AI 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.

GPU Starter

$199/mo
Entry GPU
Inference testsGPU inventory and final sizing confirmed before deploymentPrivate AI stack handoff available
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GPU Pro

$499/mo
Performance GPU
Production workloadsGPU inventory and final sizing confirmed before deploymentPrivate AI stack handoff available
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GPU Advanced

$999/mo
High VRAM GPU
Larger modelsGPU 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 GPU AI 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

GPU AI 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 GPU AI Server GPU AI Server interface screenshot in browser mockup
Features

Application and hosting features

01

Dedicated GPU inventory

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

02

CUDA-ready Linux

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

03

High bandwidth options

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

04

Root access

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

05

Private VLAN options

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

06

Managed handoff

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.

GPU AI 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

NVIDIA GPU options

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

02

Dedicated CPU and RAM

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

03

NVMe or SSD storage

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

04

1 Gbps and 10 Gbps options

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

05

Root access

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

Un plano de control alojado para apps internas y operaciones de servicio.

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1-click Uptime Kuma

Comprobaciones de uptime, supervision SSL, alertas y paginas de estado.

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1-click n8n

Automatizacion de flujos de trabajo, webhooks e integraciones API en un espacio n8n gestionado.

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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

Un plano de control alojado para apps internas y operaciones de servicio.

View

1-click Uptime Kuma

Comprobaciones de uptime, supervision SSL, alertas y paginas de estado.

View

1-click n8n

Automatizacion de flujos de trabajo, webhooks e integraciones API en un espacio n8n gestionado.

View
FAQ

Common questions

How fast are hosted apps deployed?
Most hosted app deployments are ready within 2-5 minutes after payment confirmation, then delivered with the application panel URL and handoff details.
Are these shared SaaS accounts?
No. The hosted app model is built around dedicated service environments, not a shared third-party SaaS login.
Can I connect AI providers or private GPU servers?
Yes. Hosted apps can be connected to external model providers or paired with private GPU infrastructure when the workload requires local inference.
Do I need to manage Docker myself?
No. Hosthink manages the Docker-based deployment layer for hosted applications.
Can I upgrade later?
Yes. You can request larger hosted package resources as usage grows.
What kinds of teams use these apps?
Typical users include AI builders, automation teams, agencies, operations teams, support teams, founders, and internal platform teams.
Private AI Servers

GPU AI 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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