Sold by: Salient Engineering
Deployed on AWS
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A self-hosted, production-ready Qwen 3 0.6B model on AWS Graviton, deployed into your AWS environment with a single click. Because everything runs entirely within your private cloud, your data stays secure, isolated, and fully under your control. Best of all, unlimited tokens.
Overview
This is a self-hosted deployment of the Qwen 3 0.6B large language model. It runs as a single Graviton EC2 instance allowing you to keep your data private and leverage unlimited tokens. Access is over HTTPS on port 443 with a per-instance API key; Ollama itself listens only on localhost. Once the instance is powered on, the model is ready in about 2 minutes. Highlights of the Qwen 3 model include:
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Causal language model with 0.6 billion parameters (0.44 billion non-embedding), 28 layers, and grouped-query attention with 16 query heads and 8 key-value heads.
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Native context length of 32,768 tokens.
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Switches between thinking mode for reasoning, math, and coding, and non-thinking mode for general dialogue. Thinking can also be toggled per turn with /think and /no_think.
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Tool calling and agent workflows in both thinking and non-thinking modes.
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Support for 100+ languages and dialects, including multilingual instruction following and translation.
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Fully open-source under the Apache 2.0 license, allowing for unrestricted commercial use.
Highlights
- Data security, privacy, and confidentiality
- Predictable cost
- Unlimited usage of a dedicated model
Details
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Delivery method
Delivery option
64-bit (Arm) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c7g.medium Recommended | $0.02 |
c7g.large | $0.09 |
m7g.large | $0.09 |
Dimensions summary
You pay by the hour for the AWS instance that runs this model, not per token. Three instance options are available, all built on AWS Graviton processors. The c7g.medium and c7g.large are compute-optimized sizes, with the large offering more capacity than the medium. The m7g.large is a general-purpose size that balances compute and memory. Pick the instance that matches your workload. Billing runs hourly for as long as the instance runs, so cost scales with usage time and the size you choose.
Top-of-mind questions for buyers
Each size maps to an AWS Graviton instance type. The c7g.medium is a single-core compute-optimized size. The c7g.large is a two-core compute-optimized size. The m7g.large is a two-core general-purpose size with more memory per core. You pick the one matching your workload.
The model fee meters running time. When the instance runs, hourly software charges accrue. When you fully stop the instance, the hourly model charge stops. Stopped instances may still incur underlying AWS storage fees, but the software fee tracks running hours only.
No. You pay for the machine, not for tokens. Billing is hourly for the AWS instance running the model, regardless of how many requests or tokens you process. Your cost depends on run time and instance size, not usage volume.
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Vendor refund policy
Refunds may be considered on a per-case basis. Please contact us at support@salientengineering.com for inquiries.
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Delivery details
64-bit (Arm) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
HTTPS on port 443 with a per-instance API key (Bearer). Ollama now listens on 127.0.0.1:11434 only and OLLAMA_ORIGINS is no longer "*" (set SALIENT_ALLOWED_ORIGINS to allow browser apps). The baked model is read off EBS in parallel at boot, so it is ready in about 2 minutes instead of up to 90. The EC2 system log and the SSH login banner show the endpoint, API key, TLS fingerprint and example requests. Added instance types: c7g.large, m7g.large.
Upgrading from an earlier version: clients that called http://:11434 must switch to https:// with the API key, or set SALIENT_EXPOSE_OLLAMA_HTTP=1 in user data to keep the old plain-HTTP listener.
Additional details
Usage instructions
- Launch on c7g.medium or another listed type. In the Security Group, allow inbound TCP 443 from the addresses that will call the API, and TCP 22 only if you need SSH.
- Wait about 2 minutes. EC2 console > your instance > Actions > Monitor and troubleshoot > Get system log shows "Salient LLM appliance: READY" with the endpoint, API key and examples. Status at any time: curl -k https://<PUBLIC_IP>/healthz
- Call the API with the key from the system log (or /home/ubuntu/salient-api-key over SSH): curl -k https://<PUBLIC_IP>/api/tags -H "Authorization: Bearer <API_KEY>" curl -k https://<PUBLIC_IP>/v1/chat/completions -H "Authorization: Bearer <API_KEY>" -H "Content-Type: application/json" -d '{"model":"qwen3:0.6b","messages":[{"role":"user","content":"Hello"}]}'
- The TLS certificate is self-signed: use -k, or pin the SHA-256 fingerprint printed in the system log. For a trusted certificate, set SALIENT_DOMAIN and SALIENT_LETSENCRYPT_EMAIL in user data (needs a DNS record and TCP 80 open), or run sudo salient-enable-letsencrypt DOMAIN EMAIL. Settings (your own API key, allowed browser origins, context length) go in /etc/salient/salient.conf or EC2 user data, for example SALIENT_ALLOWED_ORIGINS=https://app.example.com .
Resources
Vendor resources
Support
Vendor support
The Salient Engineering support team can be reached at: support@salientengineering.com
Our team is happy to assist with deployment and configuration issues.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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