Yes, you can run full-scale AI on premises

Federal agencies are increasingly adopting large language model (LLM) artificial intelligence due to Executive Order 14110 and its subsequent guidance.
LLMs combined with carefully designed agents can improve various federal mission-related processes, including common administrative tasks such as HR and financial accounting.
Deploying operational agentic AI at scale presents challenges for large enterprises like the U.S. federal government.
A demonstration at a Knoxville workshop by CTG Federal highlighted solutions for scalable AI deployment, emphasizing the need for capable hardware tailored to the specialized processing requirements of AI.
Agencies are discovering the advantages of on-premises hardware, particularly in environments built around graphic processing units (GPUs), to mitigate costs and security risks associated with cloud computing.
CTG Federal partnered with Dell and AI chip giant NVIDIA to offer a Pro Max machine, which uses NVIDIA’s powerful GB10 processor, for on-premises agentic AI operations, enabling agencies to run critical functions locally.
Key processes enabling efficient agentic AI operations at scale include identity-governed decision factories, markdown-based memory taxonomies, and token-optimized orchestration.
On-premises hardware is essential to minimize operational risks and costs while ensuring the swift execution of AI tasks, facilitating agentic AI that augments rather than replaces human workforces.