Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.
Title
Boosting Innovation and Cutting Costs Through Lockheed Martin's AI Factory
…re the instructions how to enable JavaScript in your web browser. Public Sector Boosting Innovation and Cutting Costs Through Lockheed Martin’s AI Factory Learn More Lockheed Martin Objective Lockheed Martin is accelerating AI adoptio…
Company
Lockheed Martin
…the necessary solutions for teams to build and deploy trustworthy AI at scale. Customer Lockheed Martin Use Case Generative AI / LLMs Products NVIDIA DGX Accelerating the Development…
Description
Lockheed Martin centralized compute resources, MLOps tools and best practices into the Lockheed Martin AI Factory, built on an NVIDIA DGX SuperPOD reference architecture, to build and deploy trustworthy AI at scale on-premises under strict data governance requirements. Developers can now get GPU-backed environments running in minutes instead of weeks, and training times dropped from weeks to days. The AI factory processes over one billion tokens per week and now serves 7,000 engineers and developers, supporting internal chatbots and coding assistants such as Lockheed Martin Text Navigator, and has consolidated 30+ models on-premises.
…endor management.” To support the diverse set of use cases across the business, the LAIC sought to centralize compute resources, MLOps tools, and best practices via their own AI factory built on the NVIDIA DGX SuperPOD reference architecture for training and deployment, enabling them to adhere to the government’s AI ethical principles while levera…
…POD, providing solutions for teams to build and deploy trustworthy AI at scale. Developers can now securely access GPU resources and have their environments up and running in minutes and reduce training times from weeks to days. Centralizing generative AI workloads on the DGX SuperPOD enables the company to…
…ory, we handle tokenization, training, and deployment in-house,” said Forrest. “Our DGX SuperPOD helps us process over one billion tokens per week, enabling fine-tuning, retrieval augmented generation (RAG), or inference on ou…
…ering 7,000 Users Without Trade-Offs in Experimentation, Cost, or Data Security Today, 7,000 engineers and developers access Lockheed Martin’s AI Factory, powered by DGX SuperPOD, to support programs across all of Lockheed Martin and produce thousands of automated pipelines and millions of weekly API requests. More than 1,100 trainees have enhanced their AI knowledge through NVIDIA's Deep…
…artin to efficiently deliver advanced AI solutions to its customers. Currently, they have consolidated 30+ models on their on-premises infrastructure using their AI factory, and the number is growing. Today, Lockheed Martin experiences full utilization and occasional overutilizat…
Industry
Aerospace & Defense
…A DGX Accelerating the Development and Integration of AI Across Lockheed Martin Lockheed Martin, the leading global security technology company, excels in developing advanced 21st Century Security® solutions across sectors such as aerospace, space exploration, and cybersecurity. For over a century, the company has solved complex challenges and advanced scie…
Problem
Lockheed Martin's AI teams faced fragmented processes, limited automation, and separate compute resources, leading to inefficiencies, increased costs and outdated compute resources, with duplicate work and inconsistent practices stemming from a lack of a unified AI strategy and clear vendor management. Setting up a development environment on local laptops or workstations under stringent security constraints often took several weeks.
…at Lockheed Martin. Forrest adds, “In addition to data governance and security, teams encountered challenges stemming from fragmented processes, limited automation, and separate compute resources, leading to inefficiencies, increased costs, and outdated compute resources. Duplicate work and inconsistent practices emerged from the lack of a unified AI…
…es, leading to inefficiencies, increased costs, and outdated compute resources. Duplicate work and inconsistent practices emerged from the lack of a unified AI strategy and clear vendor management.” To support the diverse set of use cases across the business, the LAIC sought t…
…ryan Donovan, Technical Lead of AI Foundations at Lockheed Martin. “Previously, setting up a development environment on local laptops or workstations was a challenging task due to stringent security constraints, often taking several weeks to complete. Now, with the AI factory powered by DGX SuperPOD, developers can request GPU re…
Solution
Lockheed Martin established the Lockheed Martin AI Factory, centralizing compute resources, MLOps tools and best practices via a customized MLOps platform built on the NVIDIA DGX SuperPOD reference architecture for training and inference, enabling teams to build and deploy trustworthy AI at scale on-premises. Training and inference are conducted on the DGX SuperPOD, utilizing NVIDIA Triton Inference Server and NVIDIA NeMo Framework (included with NVIDIA AI Enterprise) along with CUDA. The AI Factory supports various generative AI workloads, RAG, fine-tuning of LLMs and internal chatbots and coding assistants such as Lockheed Martin Text Navigator.
…cloud resources, and proliferate best practices across teams. To achieve this, they established the Lockheed Martin AI Factory, centralizing compute resources, MLOps tools, and best practices with a customized MLOps platform built on top of DGX SuperPOD, providing solutions for teams to build and deploy trustworthy AI at scale. Developers can now securely access GPU resources and have their environments up…
…pen-source models and develop new language models for specialized applications. Training and inference are conducted on the DGX SuperPOD, utilizing NVIDIA Triton Inference Server ™ and NVIDIA NeMo™ Framework , which are included with NVIDIA AI Enterprise, as well as CUDA ® and pre-integrated NVIDIA images. “Lockheed Martin's domain expertise, combined with NVIDIA's cutting-edge infras…
…or cost or data security,” said Donovan. “This shift accelerates our workflow." The AI factory supports various generative AI workloads, RAG, fine-tuning of LLMs and internal chatbots and coding assistants. “For instance, we have made proposal writing more efficient. As a government co…
…proposals with generative AI, summarizing past work and creating new content. “Another example is Lockheed Martin Text Navigator, a large language model chat interface that can summarize large bodies of text, analyze research papers, generate strategy ideas, and produce and troubleshoot code embedded in IDE’s,” said Forrest. Lockheed Martin Text Navigator is used by thousands of employee…
Business value
Developers can now get GPU-backed environments running in minutes instead of the several weeks it previously took, and training times dropped from weeks to days. The AI Factory processes over one billion tokens per week. Today 7,000 engineers and developers access the AI Factory, producing thousands of automated pipelines and millions of weekly API requests. More than 1,100 trainees have enhanced their AI knowledge through NVIDIA's Deep Learning Institute (DLI), and the company has consolidated 30+ models on-premises.
…POD, providing solutions for teams to build and deploy trustworthy AI at scale. Developers can now securely access GPU resources and have their environments up and running in minutes and reduce training times from weeks to days. Centralizing generative AI workloads on the DGX SuperPOD enables the company to…
…ory, we handle tokenization, training, and deployment in-house,” said Forrest. “Our DGX SuperPOD helps us process over one billion tokens per week, enabling fine-tuning, retrieval augmented generation (RAG), or inference on ou…
…ering 7,000 Users Without Trade-Offs in Experimentation, Cost, or Data Security Today, 7,000 engineers and developers access Lockheed Martin’s AI Factory, powered by DGX SuperPOD, to support programs across all of Lockheed Martin and produce thousands of automated pipelines and millions of weekly API requests. More than 1,100 trainees have enhanced their AI knowledge through NVIDIA's Deep…
…d produce thousands of automated pipelines and millions of weekly API requests. More than 1,100 trainees have enhanced their AI knowledge through NVIDIA's Deep Learning Institute (DLI), while thousands of others have completed additional training programs curated…
…artin to efficiently deliver advanced AI solutions to its customers. Currently, they have consolidated 30+ models on their on-premises infrastructure using their AI factory, and the number is growing. Today, Lockheed Martin experiences full utilization and occasional overutilizat…
AI capabilities
Generative AI, Large Language Models, Retrieval-Augmented Generation, AI Model Development & MLOps
…or cost or data security,” said Donovan. “This shift accelerates our workflow." The AI factory supports various generative AI workloads, RAG, fine-tuning of LLMs and internal chatbots and coding assistants. “For instance, we have made proposal writing more efficient. As a government co…
Technology
NVIDIA DGX SuperPOD, NVIDIA Triton Inference Server, NVIDIA NeMo Framework, NVIDIA AI Enterprise, CUDA
…pen-source models and develop new language models for specialized applications. Training and inference are conducted on the DGX SuperPOD, utilizing NVIDIA Triton Inference Server ™ and NVIDIA NeMo™ Framework , which are included with NVIDIA AI Enterprise, as well as CUDA ® and pre-integrated NVIDIA images. “Lockheed Martin's domain expertise, combined with NVIDIA's cutting-edge infras…
Deployment model
Hybrid
…t limitations of fees based on token usage.” In addition to their DGX SuperPOD, the team still leverages burst-scaling to cloud environments for temporal needs and for non-classified training and data handling. The on-premises DGX systems allow Lockheed Martin to control specific data type…
Deployment options
cloud, On-premise, hybrid
…t limitations of fees based on token usage.” In addition to their DGX SuperPOD, the team still leverages burst-scaling to cloud environments for temporal needs and for non-classified training and data handling. The on-premises DGX systems allow Lockheed Martin to control specific data type…
Applicable regulations
White House Executive Order on Safe, Secure, and Trustworthy AI
…tin Centralizing AI Infrastructure to Overcome Fragmentation and Inefficiencies Developing safe, secure, and trustworthy AI is a White House executive order to which Lockheed Martin adheres. "Due to our strict data governance guidelines, it's crucial that our data remai…
Implementation approach
Lockheed Martin established the Lockheed Martin AI Center (LAIC) in 2021 to reduce barriers to AI deployment, then built the AI Factory on the NVIDIA DGX SuperPOD reference architecture to centralize previously fragmented compute resources, MLOps tools and best practices. The company plans to expand its on-premises environment with new NVIDIA GPU architectures and aims to make the AI Factory and MLOps solution commercially available to clients.
…ing internal business operations. To further accelerate digital transformation, they established the Lockheed Martin AI Center (LAIC) in 2021 to reduce barriers for AI deployment. Their AI factory initiative is an integration of infrastructure and MLOps and g…
…they already handle millions of API calls weekly. To support growing workloads, they plan to expand their on-premises environment with new NVIDIA GPU architectures and aim to make their AI factory and MLOPs solution commercially available to their clients. “Lockheed Martin's domain expertise, combined with NVIDIA's cutting-edge infras…
Onboarding approach
They established the Lockheed Martin AI Center (LAIC) in 2021 to reduce barriers for AI deployment. More than 1,100 trainees have enhanced their AI knowledge through NVIDIA's Deep Learning Institute (DLI), while thousands of others have completed additional training programs curated by the Lockheed AI Center (LAIC), equipping participants with technical expertise and hands-on experience using industry-standard tools and frameworks.
…ing internal business operations. To further accelerate digital transformation, they established the Lockheed Martin AI Center (LAIC) in 2021 to reduce barriers for AI deployment. Their AI factory initiative is an integration of infrastructure and MLOps and g…
…d produce thousands of automated pipelines and millions of weekly API requests. More than 1,100 trainees have enhanced their AI knowledge through NVIDIA's Deep Learning Institute (DLI), while thousands of others have completed additional training programs curated…
…hanced their AI knowledge through NVIDIA's Deep Learning Institute (DLI), while thousands of others have completed additional training programs curated by the Lockheed AI Center (LAIC). These programs have equipped participants with technical expertise and hands-on experience using industry-standard tools and frameworks. "We went from having scattered GPUs on local ad hoc infrastructure, static and…
