Sold by: Techcompiler App
Deployed on AWS
TECHSIM is a self-hosted AI platform that runs large language models completely offline on your own AWS infrastructure. Powered by Ollama. Zero configuration - launch the instance and everything starts automatically.
Overview
TECHSIM-Self-Hosted AI Platform gives you complete control over your AI infrastructure. Run powerful large language models (LLMs) including Qwen, Mistral, LLaMA, and DeepSeek completely offline on your own AWS EC2 instance.
Key Features:
- 100% Private: All AI processing stays within your AWS account. No data sent to third-party APIs.
- Zero Configuration: Launch the instance and all services start automatically. No setup required.
- Multiple AI Models: Comes pre-loaded with Qwen3, Mistral Small, LLaMA 3.2, and DeepSeek R1.
- Complete Stack: Includes AI chat interface, API backend, and database - everything ready out of the box.
- Powered by Ollama: Industry-standard local AI runtime for reliable model management. Minimum recommended instance: t3.medium (2 vCPU, 4GB RAM)
Highlights
- 100% Private AI - All models run offline on your own AWS instance. No data leaves your infrastructure.
- Zero Configuration - Launch the instance and all services start automatically. No technical setup needed.
- Pre-loaded AI Models - Comes with Qwen3, Mistral, LLaMA 3.2, and DeepSeek R1 ready to use.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.
Pricing
This product is available free of charge. Free 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.
Dimensions summary
This listing uses a single pricing dimension billed by the hour on a t3.medium instance. The software itself carries no license fee under this free pricing model. You pay only for the hourly compute time the t3.medium instance runs. There are no tiers, sizes, or add-on options to choose between. Your cost scales directly with how many hours you keep the instance running. This deploys a self-hosted AI platform inside your own infrastructure.
Top-of-mind questions for buyers
The hourly rate meters one running t3.medium instance. This is a general-purpose EC2 instance with 2 virtual CPUs and 4 GB of memory. You are billed for each hour that single instance runs. The software carries no license fee, so charges reflect compute time only.
Software charges accrue only while the instance runs. A fully stopped instance stops accruing hourly software charges. Stopped instances may still incur underlying AWS storage fees for attached volumes, but the software itself meters running hours only. Your cost scales directly with active runtime.
No. The platform is self-hosted and runs inside your own infrastructure. It processes your data within the instance you deploy, without routing information to a third-party service. This design keeps queries and data on servers you control.
techcompiler.com
Helpful?
Vendor refund policy
This is a free product. Customers are only charged for AWS infrastructure costs (EC2, storage) which are managed directly by AWS. No software fees are charged, therefore no software refunds are applicable. For infrastructure refunds, contact AWS Support directly.
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.
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
Initial release - full stack AI platform with auto-boot
Additional details
Usage instructions
Getting Started
-
Launch this instance with a t3.medium or larger instance type.
-
Configure Security Group to allow required ports:
Check if the following ports already exist.
If not found, then add them manually:Go to: AWS Console -> EC2 -> Instances -> Select Your Instance -> Security Tab -> Security Group -> Edit Inbound Rules -> Add Rule
-
Port 3000 (Application UI) Type: Custom TCP
Port Range: 3000
Source: 0.0.0.0/0 (or your IP) -
Port 8080 (Backend/API) Type: Custom TCP
Port Range: 8080
Source: 0.0.0.0/0
-
-
Wait approximately 5 to 10 minutes after launch for all services to start automatically.
-
Access the platform using: http://<your-instance-public-ip>:3000
-
No configuration required.
Support
Vendor support
For support, contact: info@techcompiler.com . Documentation and setup guides available at your website. Community support available via email within 24-48 business hours.
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
Discover Mistral AI Suite: deploy securely, integrate custom tools, and leverage tailored models.
Enable your software teams to orchestrate AI agents across the entire SDLC with GitLab Duo Agent Platform Self-Hosted for offline licensing customers.
REQUIRES PRIVATE OFFER
To purchase LiteLLM Enterprise Self-Hosted, please reach out to sales@berri.ai for a Private Offer.
LiteLLM is an OpenAI compatible Proxy Server (LLM Gateway) to call 2,000+ LLM APIs using the OpenAI format Bedrock, Huggingface, VertexAI, TogetherAI, Azure OpenAI, OpenAI, etc. Get started with Opensource LiteLLM here: https://github.com/BerriAI/litellm (40,000+ Github Stars)
n8n is a flexible low-code automation & AI platform for technical users. It simplifies connecting systems and implementing AI in workflows. Available for cloud or self-hosting.
Customer 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.