Overview

Product video
Athena is Web-based & top-down (PNN CEO for market cap) companion of bottom-up Nvidia Nemo framework (nemo_toolkit for engineers) for enterprise agentic AI adoption. Athena is the building block of PNN Terminal (https://ranty.net/hm/ ), an agentic AI investment innovation, with CUDA GPU. You may license Athena from AWS or send email to cto@pnncapitalus.com to bid for the ownership of Athena. In the near future, every institution will have a customized Large Language Model (LLM) that uses the understanding of the whole Internet and private institution data to solve business problems previously unsolvable. To enable Generative AI's enterprise adoption, the Athena platform solves the privacy and safety challenges. Without exposing enterprise data to Internet, financial and government institutions can use the Athena platform as a self-hosted private ChatGPT to summarize a document, write a report or proposal, write computer code, describe images, and understand video streams etc. See sizable use cases in DOJ, DOL, NIH, CDC. Generative AI powered by Large Language Models (LLMs) is the next electricity or Internet (Jamie Dimon 2024; Jensen Huang, 2024). Now is the first inning of the AI industrial revolution. Businesses and government agencies cannot use public LLMs such as ChatGPT with private data because of privacy, security, and safety concerns. Athena AI solves the problems by providing private, secure, and safe enterprise LLMs to understand and reason enterprise unstructured big data like humans. Like ChatGPT, Athena AI can discover new knowledge, connect new and existing knowledge, and retrieve relevant knowledge stories. Athena AI pre-tunes and fine-tunes enterprise LLMs to understand enterprise documents and images. It can then use the enterprise local LLMs to solve the privacy, security, and safety challenges to LLMs enterprise adoption. Athena AI platform is designed as a base platform for customizations in enterprise AI, vision AI, mobile AI, AI safety and security. See Athena AI capabilities and use cases at https://ranty.net , e.g., Parquet Hub, Agents Studio, reading technical charts to predict and validate individual stock trends, chatting with Websites and book authors, Deepfake detection, etc.. See sizable use cases in DOJ, DOL, NIH, CDC. You can create local institutional LLMs: As opposed to sharing LLMs with the public using ChatGPT, Athena platform allows institutions to own local Athena base model files that are accessible in GGUF format (this is not available in cloud providers). The platform's Web UI supports simultaneous responses from multiple LLMs, enabling institutions to compare answers to mitigate potential hallucinations. You can create new local LLMs for institutions by extending Athena base models including DeepSeek-R1.
Highlights
- Create project AI agents (PAA): agentize PMs and architects with agentic AI, private LLM, LLM API and RAG/CAG; Compatible with Nemotron models (API), Nemo agentic containers, and prebuilt NIM LLM containers; Modernize your enterprise project with agentic AI. Jump start your PAA with Athena framework and example code at {~/awsrag}. With Athena Web UI for LLMs, you can create private LLMs with your data moat for your PAA.
- Host meeting and video AI agents collaboration (USPTO # 19/216,814 and # 63/780,599): The platform can host fast deployment of Athena Meeting AI Agents Collaboration (MAAC) to produce ~50% operational saving; Video AI Understanding (VAU) for drones and robotics; Athena AI Agents Studio for stock analysts, and Athena AI Psychologist etc. The Agentic AI application security can be automated to comply with standards such as NIST SP 800-53 rev5. Web: https://ranty.net.
- Host PNN CEO (USPTO 19/321,197) and LLM security posture autoscoring (USPTO 63/780,355). Jamie Dimon says JPMorgan spends $2B a year on AI and breaks even. PNN CEO helps you invest less for more return. PNN CEO enables executives to engage AI agents via Web UI (e.g. CEO agent, Capital IP & Growth agents) to grow market cap.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
No refund
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
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
APAA RAG code example
Additional details
Usage instructions
- launch AMI - get public IP
- download a .pem file
- ssh -i {.pem file} ubuntu@{IP}
- annual users send email to demo@deepcybe.com for additional support
Resources
Vendor resources
Support
Vendor support
Athena Agentic AI services: launch the Athena platform from AWS Marketplace, then send email to pnncapitalus@gmail.com to request the incremental services (https://ranty.net ).
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
