Listing Thumbnail

    Qwen 3.6 35B-A3B

     Info
    Deployed on AWS
    Free Trial
    A self-hosted, production-ready Qwen 3.6 35B model, with 3 billion active parameters 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 3.6 35B-A3B  large language model. It runs as a single GPU-powered EC2 instance allowing you to keep your data private and leverage unlimited tokens. Access to the model is via HTTPS, ensuring data is encrypted in-transit at all times. Highlights of the Qwen 3.6 35B model include:

    • Utilizes a sparse Mixture-of-Experts (MoE) architecture with 35 billion total parameters and only 3 billion active parameters to deliver flagship-level performance with massive efficiency.

    • Features exceptional agentic coding capabilities that surpass much larger dense models and excel at repository-level reasoning and terminal-based workflows.

    • Introduces the "preserve thinking" feature, which retains reasoning traces from all preceding conversation turns to improve consistency in complex, multi-step tasks.

    • Native multimodal support enables high-performance perception and reasoning across text, images, and video, particularly in tasks requiring spatial intelligence.

    • Supports a standard context window of 262K tokens, which can be extended up to 1 million tokens using specialized techniques like YaRN.

    • Incorporates Multi-Token Prediction (MTP) to enable speculative decoding, significantly increasing inference speed for structured data and code generation.

    • Provides flexible interaction through a native "Thinking Mode" for deep reasoning and a "Non-Thinking Mode" for instant, direct responses.

    • Fully open-source under the Apache 2.0 license, allowing for unrestricted commercial use and local deployment on consumer-grade hardware.

    Highlights

    • Data security, privacy, and confidentiality
    • Predictable cost
    • Unlimited usage of a dedicated model

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    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.

    Qwen 3.6 35B-A3B

     Info
    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.

    Usage costs (1)

     Info
    Dimension
    Cost/hour
    g5.2xlarge
    Recommended
    $0.09

    Vendor refund policy

    Refunds may be considered on a per-case basis. Please contact us at support at salientengineering.com for inquiries.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) 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

    Configured for production environments. Ollama is exposed on port 443.

    Additional details

    Usage instructions

    1. Deploy the EC2 instance, configure the Security Group to only allow inbound port 22 and 443 from your trusted IP address(es)
    2. Access the Qwen 3.6 35B-A3B model via the Ollama service exposed on port 443. Example curl command: curl -X POST https://<elastic-ip>/api/generate
      -d '{"model":"qwen3.6:35b-a3b","prompt":"In one sentence, explain what a large language model is capable of."}'

    Resources

    Support

    Vendor support

    The Salient Engineering support team can be reached at: support@salientengineering.com 

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.