AI-Ready Ubuntu 24.04 LTS (NVIDIA GPU) | Support by Clearscale logo

    AI-Ready Ubuntu 24.04 LTS (NVIDIA GPU) | Support by Clearscale

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    Turn-key GPU Ubuntu 24.04 LTS AMI: NVIDIA drivers (CUDA 13.2), Ollama orchestrator, and a Caddy edge proxy. Launch a private, bearer-token gated, OpenAI-compatible LLM endpoint in your own VPC in minutes. Qwen3-1.7B baked in; swap models via cloud-init.

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    Reviews (1)
    reviewer2855742

    Secure private endpoints have simplified deployment and now provide fast, token-gated LLM access

    Reviewed on Jun 11, 2026
    Review from a verified AWS customer

    What is our primary use case?

    This product is a good solution for private LLM endpoints.

    How has it helped my organization?

    There were improvements to the organization, although they were minimal.

    What is most valuable?

    Setting up a secure, private LLM backend usually means wrestling with NVIDIA drivers, package dependencies, and reverse proxies. ClearScale's AI-Ready Ubuntu image completely eliminates that overhead.

    I had an encrypted, token-gated API endpoint serving local models inside my VPC within minutes of launching the instance. The pre-installed Ollama orchestrator and Caddy reverse proxy work seamlessly together right out of the box. If I need a production-ready, secure foundation for localized inference without the typical deployment headache, this AMI is an absolute lifesaver. It deserves 5 stars.

    For how long have I used the solution?

    I used the solution for less than one hour.

    What do I think about the stability of the solution?

    There were no stability issues.

    What do I think about the scalability of the solution?

    There were no scalability issues.

    How was the initial setup?

    The initial setup was straightforward.

    What about the implementation team?

    The implementation was handled internally by my team.

    What was our ROI?

    There was no specific return on investment mentioned.

    What other advice do I have?

    I have no additional advice to provide.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)