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    Athena Agentic AI Platform for Institutions

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    Sold by: DeepCyber 
    Deployed on AWS
    Jamie Dimon says JPMorgan spends $2B a year on AI and breaks even. Athena helps you spend less for more return and elevate market cap. MIT reports 95% AI pilots fail, Athena improves your success rate with self-hosted LLMs and Web-based CEO agents, capital agents, growth agents, and agentic RAG collaboration to elevate market cap. Athena accelerates agentic AI adoption for financial and government institutions. Athena is CSP agnostic and portable to on-premise or hyperscalers.

    Overview

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    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

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu Latest

    Deployed on AWS

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    Pricing

    Athena Agentic AI Platform for Institutions

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    Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. 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.

    Fixed subscription cost

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    Monthly subscription
    $2,000.00/month

    Usage costs (10)

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    Dimension
    Cost/hour
    g2.8xlarge
    Recommended
    $0.50
    g5.24xlarge
    $0.50
    c5n.4xlarge
    $0.99
    c4.4xlarge
    $0.99
    c5d.4xlarge
    $0.99
    c5.4xlarge
    $0.99
    c5a.4xlarge
    $0.99
    c3.4xlarge
    $0.99
    c5ad.4xlarge
    $0.99
    c6a.4xlarge
    $0.99

    Vendor refund policy

    No refund

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    Usage information

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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

    APAA RAG code example

    Additional details

    Usage instructions

    1. launch AMI - get public IP
    2. download a .pem file
    3. ssh -i {.pem file} ubuntu@{IP}
    4. annual users send email to demo@deepcybe.com  for additional support

    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.

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