Based on openSUSE Linux with amazon-ssm-agent, this product offers private AI using a proprietary model without requiring internet access. MultiCortex HPC (High-Performance Computing) allows you to increase the response quality of your AI. This is a plug-and-play product, low cost and with no additional fees.
Highlights
Boost your private AI system with MultiCortex HPC and leave the thousands of AI updates to us
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.
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.
You pay by the hour for the EC2 instance type you run this AI server on. Pricing is usage-based, so your cost depends on which instance you choose and how many hours you use it. The many dimensions map to AWS instance families, including general-purpose (m-series), compute-optimized (c-series), memory-optimized (r-series and x-series), storage-optimized (i- and d-series), high-memory (u-series), and accelerated GPU or inference types (p, g, inf, f, vt, dl). Larger sizes within a family carry higher hourly rates. There are no token or per-use fees for the software itself.
Top-of-mind questions for buyers
What am I actually paying for with each hourly rate?
You pay the software's hourly charge for running this AI server on the AWS instance type you select. Each instance type maps to a set amount of CPU, memory, storage, or GPU. The rate reflects that instance's size. There are no separate token or per-use fees for the software.
Am I charged when the instance is stopped or powered off?
The hourly software charge applies only while the instance runs. A fully stopped instance stops accruing software charges. You may still owe underlying AWS fees, such as storage for the attached volume, even while the instance is off. The software meters running hours only.
Does my bill change if I switch to a different instance type?
Yes. Your hourly rate follows the instance type you run. Moving from a smaller size to a larger one within a family raises the hourly rate. Switching families, such as from general-purpose to a GPU type, also changes the rate. You only pay the rate for whatever instance is active.
www.multicortex.ai
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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
MultiCortex HPC with Amazon SSSM Agent and the latest versions of open-source models.
Additional details
Usage instructions
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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