Hostinger GPU instance template options define the pre-installed operating system and AI application environment available during server deployment. Your choice depends on the workflow you’re running, how many CPU cores your instance has, and how much default security each template provides.<\/p>
A template is the operating system and application image that deploys automatically on your Hostinger GPU instance<\/a>. Every Hostinger GPU instance runs Ubuntu 24.04 as its base operating system. Certain templates include pre-installed software stacks so you can start a specific AI workflow immediately instead of installing and configuring it yourself.<\/p> Available templates depend strictly on your selected CPU core count, not your GPU model.<\/p>Check template availability by CPU cores<\/h2>
| \n CPU core allocation<\/b><\/p>\n<\/td>\n | \n Available Hostinger GPU instance templates<\/b><\/p>\n<\/td>\n<\/tr>\n 1 CPU core<\/p>\n<\/td>\n Ubuntu 24.04<\/p>\n<\/td>\n<\/tr>\n 2 or more CPU cores<\/p>\n<\/td>\n Ubuntu 24.04, Ollama, JupyterLab, Unsloth, InvokeAI<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table> Choose Ubuntu 24.04 if you want to install and configure your own software from scratch rather than use a pre-built stack. It provides a bare operating system with no pre-installed applications or exposed web services, giving you total manual control.<\/p> Choose Ollama if you want to run a local language model and interact with it through a browser without setting anything up yourself. The template includes Ollama for executing local language models and Open WebUI for browser-based interaction. The internal Ollama Application Programming Interface (API) stays private within the instance, while Open WebUI exposes automatically so you can access it in a browser immediately after deployment.<\/p> Choose JupyterLab if you want a ready-to-use development environment for experimenting with models or running training code. The template provides a web-based notebook environment pre-configured with PyTorch and CUDA 12.4 drivers, and it exposes automatically upon deployment.<\/p> Choose Unsloth if your workflow is fine-tuning Large Language Models (LLMs) rather than training from scratch. The template includes Unsloth Studio, pre-configured for fine-tuning using Low-Rank Adaptation (LoRA) and Quantized Low-Rank Adaptation (QLoRA), and it exposes automatically with pre-set credentials.<\/p> Choose InvokeAI if your workflow is image generation rather than language model work. The template delivers a web-based studio supporting Stable Diffusion and FLUX models. It deploys without any pre-installed models, so you download the models you need through the internal Model Manager interface after deployment.<\/p> Each template also comes with a different default authentication level, which affects what you need to secure before exposing it publicly.<\/p> Hostinger GPU instance template<\/b><\/p>\n<\/td>\n Default authentication mechanism<\/b><\/p>\n<\/td>\n<\/tr>\n Ubuntu 24.04<\/p>\n<\/td>\n Not applicable (no running service)<\/p>\n<\/td>\n<\/tr>\n Ollama<\/p>\n<\/td>\n None until the first visitor creates an account<\/p>\n<\/td>\n<\/tr>\n JupyterLab<\/p>\n<\/td>\n Access token required<\/p>\n<\/td>\n<\/tr>\n Unsloth<\/p>\n<\/td>\n Pre-configured username and password<\/p>\n<\/td>\n<\/tr>\n InvokeAI<\/p>\n<\/td>\n None (manual security setup required)<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table> Select a larger instance size with at least 2 CPU cores if application templates do not appear during deployment.<\/p> Deploy a new Hostinger GPU instance to switch templates, as templates cannot be modified after initial deployment. Destroying an existing Hostinger GPU instance permanently removes all stored data.<\/p> Install additional software packages on any application template because every Hostinger GPU instance retains full Ubuntu 24.04 root access.<\/p> Choosing the right Hostinger GPU instance template ensures your server deploys with the exact operating system, application stack, and security configuration required for your project.<\/p> NOTES<\/strong><\/p> Select the ideal operating system or application image for your Hostinger GPU instance setup.<\/p>\n","protected":false},"author":648,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"include_on_kodee":true,"footnotes":""},"categories":[319],"tags":[],"class_list":["post-16870","post","type-post","status-publish","format-standard","hentry","category-gpu"],"hreflangs":[],"include_on_kodee":true,"_links":{"self":[{"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/posts\/16870","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/users\/648"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/comments?post=16870"}],"version-history":[{"count":6,"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/posts\/16870\/revisions"}],"predecessor-version":[{"id":16903,"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/posts\/16870\/revisions\/16903"}],"wp:attachment":[{"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/media?parent=16870"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/categories?post=16870"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hostinger.com\/support\/wp-json\/wp\/v2\/tags?post=16870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} |