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NVIDIA NeMo Framework

2 use cases using this technology

Aerospace & DefenseGenerative AILarge Language ModelsRetrieval-Augmented GenerationAI Model Development & MLOps

Boosting Innovation and Cutting Costs Through Lockheed Martin's AI Factory

Lockheed Martin

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.

Technology & SoftwareLarge Language ModelsAI Model Development & MLOpsAgentic AI

Domyn builds Colosseum 355B, a sovereign AI foundation model, using NVIDIA DGX Cloud

Domyn

Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.