Pentagon inks deals with Nvidia, Microsoft, and AWS to deploy AI on classified networks
The U.S. Department of Defense has signed agreements with Nvidia, Microsoft, Amazon Web Services, and Reflection AI to deploy their artificial intelligence technologies on classified networks. These deals aim to enhance military decision-making and operational capabilities across high-security environments. The move follows the Pentagon's broader strategy to diversify AI vendors and avoid reliance on any single provider.
- ▪The Pentagon signed deals with Nvidia, Microsoft, AWS, and Reflection AI to use their AI models on classified networks.
- ▪The AI systems will operate in Impact Level 6 and Impact Level 7 environments, which are high-security classifications for national defense data.
- ▪More than 1.3 million DOD personnel have used the GenAI.mil platform for generative AI tasks in non-classified settings.
- ▪The Pentagon is seeking to prevent AI vendor lock-in by expanding access to multiple American technology providers.
- ▪The department previously clashed with Anthropic over restrictions on the use of its AI models in military applications.
Opening excerpt (first ~120 words) tap to expand
After landing agreements with Google, SpaceX, and OpenAI, the U.S. Defense Department said on Friday that it has signed deals with Nvidia, Microsoft, Amazon Web Services, and Reflection AI that allow it to deploy their AI tech and models on its classified networks for “lawful operational use.” “These agreements accelerate the transformation toward establishing the United States military as an AI-first fighting force and will strengthen our warfighters’ ability to maintain decision superiority across all domains of warfare,” the statement reads. The deals come as the U.S. Department of Defense has accelerated its diversification of AI vendors in the wake of its controversial dispute with Anthropic over usage terms of its AI models.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
Discussion
0 commentsMore from TechCrunch
