Sold by: MultiCortex
Deployed on AWS
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AWS Free Tier
This product has charges associated with it for support from the seller. Built on openSUSE Linux, this product provides private AI using the LLaMA model with 1 billion parameters. MultiCortex HPC (High-Performance Computing) allows you to boost your AI's response quality. This is a plug-and-play, low-cost product with no token fees.
Overview
ABOUT LLAMA 3.2
Llama Three Point Three is a large language model developed by Meta AI and released in December twenty twenty four. This model represents a significant advancement in terms of efficiency and performance in the field of artificial intelligence.
Performance and Efficiency
Llama Three Point Three delivers strong performance with significantly lower computational requirements compared to previous models. This enables developers and companies to deploy advanced AI solutions without the need for expensive and specialized infrastructure.
Multilingual Capabilities
Designed to serve a global audience, Llama Three Point Three supports multiple languages and outperforms many existing conversational models on standard industry benchmarks. This makes it ideal for applications that require understanding and generating text in various languages.
Highlights
- Computational efficiency. Designed to run on more accessible infrastructure, reducing operational costs.
- Practical applications. Used by companies for automation, customer support, and other AI tasks.
- Privacy and control. Companies can implement the model without compromising sensitive customer data.
Highlights
- Boost your private AI system with MultiCortex HPC and leave the thousands of AI updates to us
- Enjoy full technical compliance with complete data control in the hands of your company
- No token fees, enhanced performance, and lower consumption of computing resources
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Leap 15.6
Deployed on AWS
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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
Free trial
Try this product free for 31 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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.2xlarge Recommended | $0.30 |
t2.micro | $0.30 |
t3.micro | $0.30 |
r5d.large | $0.30 |
r5d.8xlarge | $0.30 |
m5.16xlarge | $0.30 |
i7ie.18xlarge | $0.30 |
m6id.12xlarge | $0.30 |
hpc7a.24xlarge | $0.30 |
r3.large | $0.30 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance you choose to run this software. Each dimension maps to a specific instance type, so pricing scales with the compute size and family you select. Options range from small shared instances to large memory-, compute-, storage-, and accelerator-optimized instances, including bare-metal configurations. You are billed only for the hours each instance runs, with no token fees or per-use charges. Larger or specialized instances carry higher hourly rates. Pick the instance that fits your workload and cost needs.
Top-of-mind questions for buyers
Each hourly unit is one running AWS EC2 instance of the type you select. The software runs on that instance, and you pay for every hour it stays running. The rate matches the specific instance type, so a large accelerator instance costs more per hour than a small shared one.
Software charges apply per hour while the instance runs. A fully stopped instance stops accruing software fees. Stopped instances may still incur underlying AWS storage charges for attached volumes, but the software meters running time only.
No. This product runs the model in your own environment with local processing. You pay only the hourly instance rate. There are no token fees or per-use charges, so cost depends on the instance type and how many hours it runs.
www.multicortex.ai
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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
Llama 3.2 3b model and all packages installed automatically.
Additional details
Usage instructions
Additional details Usage instructions <br><br> To use the product, follow these steps: 1. Open a web browser and go to the application at the following address: https://<EC2_Instance_Public_DNS>/index.html. 2. Log in using the credentials below: - Username: ec2-user - Password: the instance_id of your instance. After launching an EC2 instance, wait about 15 minutes for the system to complete the automatic configuration and download of the LLM template. After this time, you can access the chat interface by typing the instance's IP address followed by port 7000 into your browser. For example: http://10.21.103:7000 .
Support
Vendor support
The support service called MultiCortex, developed based on the openSUSE operating system, aims to provide the necessary resources for the efficient execution of AI models that are always up to date and aligned with the latest technological innovations in the area, offering a robust and secure environment for the development and application of AI-based solutions.
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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