Ollama AI with Preloaded Qwen2.5 7B - Hardened by ThinkCloud

Overview

Run local language-model inference on an Ubuntu 24.04.4 LTS environment with Ollama and Qwen2.5 7B Q4_K_M prepared on the AMI. The configuration is intended for teams that want to evaluate or operate a self-managed inference endpoint on their own Amazon EC2 infrastructure. Included configuration

• Ollama 0.34.1 is configured as a systemd service.
• Qwen2.5 7B Q4_K_M (qwen2.5:7b) is documented as preloaded, so the model does not need to be pulled before initial local inference.
• The documented GPU configuration uses Ollama's bundled GPU runner with the NVIDIA driver; a separate system CUDA Toolkit and nvcc are not part of the documented installation.
• The Ollama API uses the local instance endpoint on port 11434; it has no built-in authentication by default. Documented deployment baseline

Product documentation records Ubuntu 24.04.4 LTS on x86_64 and GPU inference checks with an NVIDIA Tesla T4. GPU availability and inference performance depend on the selected EC2 instance, driver, model, and workload. This is not a claim that every instance type or workload has been tested; verify the final AMI and selected instance before production use. Security and customer responsibilities

Keep the unauthenticated Ollama API private. Do not expose port 11434 directly to untrusted networks or the public internet. For remote access, place the API behind customer-managed authentication and TLS, restrict source addresses with network controls, and monitor access. Customers are responsible for instance selection, IAM and network configuration, data governance, backups, and ongoing software/model updates. Pricing

Marketplace software charges, if approved for publication, apply to the seller-provided integration and prepared deployment configuration described above. Amazon EC2 infrastructure and any separately disclosed third-party charges are billed independently.