Overview
X-Machines Virtual Machine (XVM™) Developer is a neurosymbolic virtual AI processor which combines neural processes with symbolic reasoning. XVM™ empowers developers of mission-critical applications with toolsets for development, debugging, and code analysis with ISO Prolog and Logtalk™. XVM™ empowers developers of mission-critical applications with toolsets for development, debugging, and code analysis with ISO Prolog and Logtalk™. This AMI is intended for development of XVM and Logtalk programs. It includes XVM™ Engine (XVM™+Logtalk+Packs) plus all libraries required for the following programs: logtalk tools, jupyter labs, vscode server, aws cli.
Highlights
- XVM™ delivers security, speed, performance, and efficiency for the next generation of AI computing over all types of operations.
- XVM™ includes a rich catalog of standard, proprietary, and sought-after AI algorithms for industrial, performant Graph-AI, Neural-AI and Symbolic-AI use cases.
- XVM™ offers a complete AI toolkit for Data Processing and Knowledge, Powerful Reasoning, and AI Agents
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
g5.8xlarge Recommended | $200,000.00 |
Vendor refund policy
All sales are final, and we do not offer refunds for any purchases made through AWS Marketplace. By completing your purchase, you acknowledge and accept that no refunds, exchanges, or cancellations will be provided.
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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
XVM Developer v10.2.3
Additional details
Usage instructions
SSH Instructions: Key Pair- Add your desired key for SSH access. Log in with the username: ubuntu. When SSHing into the instance, use the following command for example: /path/key-pair-name.pem ubuntu@instance-public-dns-name
Network security settings: Open all ports: Port 8888 is required for Jupyter Labs (default port) Port 443 is required for SSH.
Usage Instructions: https://xvm-public.s3.us-east-1.amazonaws.com/xvm_usage_instructions_v10.2.2.pdf
Support
Vendor support
Support is available at support@permion.ai
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.