OpenWebUILLM on Ubuntu 24.04 with maintenance support by PCloudhosting
pCloudHosting LLC · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
<p>
OpenWebUI for LLM 0.9.1 for LLM on Ubuntu 24.04 is provided with free maintenance support by <strong>PCloudhosting</strong>. This offering is a repackaged open-source solution, with optional paid support available for organisations that need reliable production assistance. It is fully optimised for deployment on the AWS Cloud Marketplace, allowing you to launch, manage, and scale self-hosted AI workloads with confidence.
Show the rest of the publisher’s description (22 more lines)
</p>
<p>If you're looking for an easy way to run powerful large language models (LLMs) privately on your own servers, without sending data to third parties or paying per token-, check this out. Hossted brings you OpenWebUI, a repackaged open-source gem with optional paid support for teams that need rock-solid production help. It's fully tuned and ready to launch straight from the AWS Cloud Marketplace.</p>
<p>OpenWebUI gives you a super clean, ChatGPT-like web interface right in your browser. You get to chat with AI models, switch between them on the fly, and keep everything 100% under your control-no external APIs, no data leaks. Everything stays inside your AWS setup.</p>
<p>It's pre-configured on Ubuntu 24.04 LTS and optimised for quick deployment on AWS, whether you spin up an AMI or go container-based. It runs Ollama under the hood so you can fire up popular open-source models like LLaMA, Mistral, Phi-3, DeepSeek, and more. CPU-only for light testing? No problem. Got GPUs on your EC2 instance? It'll fly for serious inference work.</p>
<p><strong>What makes it awesome in one place:</strong></p>
<ul>
<li>Pre-installed OpenWebUI on Ubuntu 24.04 LTS - ready out of the box</li>
<li>Built specifically for AWS Cloud Marketplace - one-click launch and scaling</li>
<li>Ollama support for LLaMA, Mistral, Phi-3, DeepSeek, and other compatible models</li>
<li>Fully local execution, zero external dependencies or API calls</li>
<li>Beautiful ChatGPT-style UI with full markdown and LaTeX rendering (excellent for tech docs, research, math.</li>
<li>Runs smoothly on CPU-only or GPU-powered EC2 instances</li>
<li>Plays nice with AWS IAM, VPC networking, security groups, and your existing compliance setup</li>
</ul>
<p><strong>Ready for real production use:</strong></p>
<p>You can add enterprise-grade stuff like role-based access control (RBAC), multi-model pipelines, RAG (retrieval-augmented generation) for smarter answers with your own docs, and plugin support for custom features. With Hossted's optional support, you also get monitoring, auto-updates, security scans, and hands-on guidance to keep things running smoothly.</p>
<p><strong>Quick highlights:</strong></p>
<ul>
<li>Dead-simple browser interface -chat with AI as you would on ChatGPT</li>
<li>Total data privacy and ownership -everything stays in your AWS environment</li>
<li>Lightning-fast setup on AWS Marketplace - launch in minutes, scale as you grow</li>
</ul>
Highlights
Highlighted by the publisher on AWS Marketplace.
Easy-to-use browser UI for interacting with LLMs.
Runs on both CPU-only and GPU-accelerated setups.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
21 listed- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
Refund terms
As stated by the publisher on AWS Marketplace.
No refund
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

