Private Hosted AI

HighsideAI offers a number of different tools that allows organizations to host and scale their own completely private AI inferencing infrastructure. From single users to entire divisions, we have a solution to meet your needs.

Highside Private Hosted AI

Meta Llama3.3: Link

Meta’s Llama 3.3: a cutting-edge 70-billion-parameter language model engineered to meet the rigorous demands of federal agencies and the Department of Defense.

With its advanced capabilities in natural language processing and multilingual support, Llama 3.3 empowers defense operations with enhanced intelligence analysis, streamlined logistics, and robust cybersecurity measures. Its efficient architecture ensures deployment feasibility across diverse environments, from centralized command centers to field operations.

By integrating Llama 3.3, federal and defense entities can leverage state-of-the-art AI to bolster national security and operational effectiveness.

Microsoft Phi4: Link

Microsoft’s Phi-4 is a 14-billion-parameter language model designed to excel in complex reasoning tasks, particularly in mathematics and coding.

Its compact architecture allows for efficient deployment on devices with limited hardware resources, making it suitable for edge computing applications.

Phi-4’s advanced capabilities and efficient design make it a compelling choice for federal agencies and the Department of Defense seeking to enhance their AI-driven operations.

State Of The Art LLMs

Google Gemma3: Link

Google’s Gemma 3 is a state-of-the-art, multimodal AI model designed to meet the complex and evolving needs of federal agencies and the Department of Defense (DoD).

With support for over 140 languages and a 128K-token context window, Gemma 3 enables comprehensive analysis of extensive textual and visual data, facilitating sophisticated intelligence and operational planning. Its scalable architecture, ranging from 1B to 27B parameters, allows deployment across diverse platforms, from mobile devices to high-performance servers, ensuring adaptability in various operational environments.

Furthermore, Gemma 3’s open-weight design and compliance with responsible AI guidelines align with federal mandates for transparency and ethical AI use, making it an ideal choice for enhancing mission-critical capabilities within the federal government and DoD.

IBM Granite3.2: Link

IBM’s Granite 3.2 is a cutting-edge AI model suite engineered to meet the rigorous demands of federal agencies and the Department of Defense (DoD).

Featuring advanced chain-of-thought reasoning that can be toggled on or off, Granite 3.2 enhances complex decision-making processes while optimizing computational efficiency. Its Vision Language Model (VLM) excels in document understanding, adeptly processing diverse formats such as charts and diagrams, which is invaluable for intelligence analysis and operational planning.

Additionally, Granite 3.2 introduces enhanced time-series forecasting capabilities, enabling precise long-term predictions crucial for strategic operations. The suite also includes the Granite Guardian safety models, offering robust risk detection with a streamlined architecture to ensure secure AI deployment. Available under the permissive Apache 2.0 license, Granite 3.2 aligns with federal mandates for transparency and adaptability, making it an ideal choice for government and defense applications.

Below are just a few of the models we support.

Secure API Gateway

HighsideAI has partnered with Kong to provide a scalable, secure AI gateway for protecting users and organizations when working with private hosted AI tools. The Gateway includes AI specific capabilities for full integration with SSO, governance, observability, prompt guard and other business rules and logic to ensure that your users and the organization as a whole get most out of your AI platform.