TMGcore Participates in Ranger Communications Expo at Fort Benning, Georgia

TMGcore, the innovative Texas-based two-phase liquid immersion platform company, recently announced its participation in the Ranger Communications Expo at Fort Benning, Georgia. Jeff Butler from the TMG Core Government Affairs team was present to represent the company.

The Problem: As the digital landscape grows and data demands increase, military installations such as Fort Benning are in need of more efficient, sustainable, and compact solutions for their computing needs. Conventional data center deployments can be bulky, inefficient, and require extensive infrastructure, creating problems in high-demand, space-sensitive scenarios often found in military contexts.

The Solution: TMGcore, with its breakthrough server technology and compact, immersion-cooled data centers, is positioned as a potential solution for military installations. Their cutting-edge technology, like the TMGcore Auto 120 unit, provides a compact, high-density computing solution that can efficiently operate in various environments, reducing the need for traditional data center infrastructure.

The Outcome: While the exact details of TMGcore’s participation in the Ranger Communications Expo are yet to be disclosed, their presence at a military expo suggests a potential alignment between the needs of the military and the solutions TMGcore provides. By showcasing their innovative technology at such an event, TMGcore has a unique opportunity to demonstrate how its solutions can address the challenges faced by military installations regarding their computing needs.

By participating in the Ranger Communications Expo, TMGcore is not only expanding its reach but also potentially providing solutions for high-density computing in the governmental and military sectors. This move marks a significant step in TMGcore’s efforts to revolutionize the future of data centers across different sectors.

Recent Episodes

NVIDIA’s Rubin GPUs are expected to deliver a substantial increase in inference performance in 2026. The company claims up to 5 times the performance of B200s and B300s systems. These gains signal a major step forward in raw inference capability. Mark Jackson, Senior Product Manager at QumulusAI, explains that this level of performance is…

Energy companies are running into a hard truth: the old “buy vs. build” debate no longer fits today’s reality—especially as AI moves from experiment to expectation. A modern software strategy must now account for cloud-native, modular ecosystems, where open APIs, integrations, and AI-ready interfaces determine how quickly teams can launch, adapt, and scale. Early…

Generative AI has moved past being a shiny demo and into the messy reality of enterprise operations—where data lives in different systems, customers expect instant answers, and security teams (rightfully) say “prove it.” In energy services specifically, even small efficiency gains matter: many retail energy providers operate on thin margins, and operational blind spots—billing…