Sigma Defense to Build SUNet 2.0 Prototype for Defense AI Work
Sigma Defense has been selected to deliver a SUNet 2.0 prototype for the U.S. Department of War, the company announced in a press release.
SUNet 2.0, short for Secure Unclassified Network, is planned as a secure and governed environment for artificial intelligence and machine learning development, data collaboration, mission partner integration, technology testing, and future operational mission applications.
Under the initial six month effort, Sigma Defense will deliver a production representative Minimum Viable Product. The prototype is intended to let the government evaluate core capabilities for AI and machine learning development, data operations, secure collaboration, governance, and technology integration.
The prototype is the first phase of the program and may lead to a later production effort. Sigma Defense said its proposed platform is designed to keep government control over governance, identity, security, data, and operations.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Defense AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Defense
Sep 19 False AI Intelligence Report Nearly Triggers US Action Against Chinese Ship Sep 17 Carbon 9 Defense Wins 2026 Splunk Public Sector Partner Award Sep 17 ARCYN Defense Joins MassChallenge Security Program Sep 17 Rapta Raises $8 Million for Manufacturing Quality Assurance AI Sep 15 Xtremis Wins Defense Innovation Unit Spectrum Strike ChallengeDefense AI Brief
Your weekly intelligence briefing on the technology shaping modern warfare and national security.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
SDMC Showcases Deployable AI Home Architecture at IBC 2026
Palo Alto Networks Launches Unit 42 Continuous Frontier AI Defense
F-Secure and AMD Silo AI Test TrustPath for AI Agent Security
OpenAI Commits $1 Billion to Daybreak Cyber Defense Access
Open Secure AI Alliance Joins Linux Foundation
Daily AI Brief: the AI news that matters, in your inbox.