
Nvidia has open sourced its Aerial 6G software stack, democratising next-generation telecom innovation and pushing the U.S. closer to AI-driven leadership through programmable, open AI factories.
At GTC DC 2025, Nvidia announced a major open source milestone by releasing its Aerial 6G software stack, marking a decisive shift toward programmable, open AI factories. The move enables researchers, telecom startups, and hyperscalers to prototype full-stack 5G/6G networks and AI-RANs on desktop supercomputers such as DGX Spark. By open-sourcing Aerial, Nvidia is democratising access to telecom innovation and accelerating the transition from proprietary systems to programmable, composable architectures.
Nvidia Chief Executive Jensen Huang underscored a strong national message: “The U.S. government is not standing still and it needs to keep up the pace to ensure the U.S. wins the AI race.” The company’s open innovation model aligns with its mission to embed AI into America’s infrastructure, manufacturing, and telecommunications, strengthening national competitiveness.
The open-source announcement was supported by a wave of industrial deployments. Pharma giant Eli Lilly unveiled the Blackwell SuperPOD, the world’s largest AI factory in the sector, powered by over 1,000 Nvidia Blackwell Ultra GPUs and designed to accelerate drug discovery through federated learning and foundation models.
Nvidia also showcased AI factories for government and defence, built on secure FedRAMP-compliant environments in collaboration with CrowdStrike, Palantir, and Lockheed Martin. The BlueField-4 DPU, Mega Omniverse Blueprint for digital twins, and partnerships with Uber and Nokia further demonstrate Nvidia’s expanding ecosystem.
As Zeus Kerravala, Principal Analyst at ZK Research, observed: “The era of the ‘AI factory’ — full-stack, reference-architected, open, secure and programmable — is here.” Nvidia’s open-source vision positions it as the orchestrator of America’s AI-driven industrial renaissance.












































































