Qwen 3.8 27B | Salient Engineering

Qwen 3.8 27B

Qwen 3.8 27B on a GPU instance in your AWS account. Text, image, and video input, a 262K context, and no per-token charge. HTTPS on port 443, ready in about 5 minutes.

  • Stays in your AWS account
  • Thinking mode, tool calling, and image or video input
  • 262K context, with a longer window available
  • HTTPS on port 443 with a per-instance API key

Quick start

Check your GPU quota before you subscribe

GPU instances need the EC2 quota Running On-Demand G and VT instances (code L-DB2E81BA) in your Region. It must be at least the vCPU count of the instance (g6.xlarge has 4 vCPUs). New AWS accounts often start at 0, and the launch then fails. Check or request the quota.

  1. Subscribe on AWS Marketplace. The free trial covers the software fee; EC2 charges still apply.
  2. Launch on g6.xlarge. In the security group, allow TCP 443 from the addresses that will call the API, and TCP 22 only if you need SSH.
  3. Wait about 5 minutes. In the EC2 console, open the instance, then Actions, Monitor and troubleshoot, Get system log. When the model is ready the log shows the endpoint, the API key, and example requests.
    curl -k https://PUBLIC_IP/healthz
  4. Send a request with the API key. The certificate is self-signed, so use -k or pin the fingerprint from the system log.
    curl -k https://PUBLIC_IP/v1/chat/completions \
      -H "Authorization: Bearer API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"model":"qwen3.8:27b","messages":[{"role":"user","content":"Hello"}]}'

Instance types on this listing: g6.xlarge, g5.xlarge, g5.2xlarge, g6.2xlarge, g6e.xlarge, g6e.2xlarge. The model name in requests is qwen3.8:27b.