The Convergence of AI, Space, and Cloud: We are entering an era where artificial intelligence, satellite technology, and the cloud hyperscalers are converging in unprecedented ways. From AI datacenters in space to orbital edge computing, the boundaries between these domains are dissolving. This blog explores the technical, strategic, and business implications of this convergence. What…
The infrastructure requirements for agentic AI systems are fundamentally different from traditional machine learning workloads. While LLMs primarily need GPU and fast storage, AI agents require real-time orchestration, permission-aware data access, zero standing privileges and semantic understanding of enterprise information architectures. The Three Pillars of Agentic Infrastructure 1. Retrieval-Augmented Generation (RAG) at Scale Traditional databases…
The recent splashdown of the Artemis II mission marked the beginning of a new cis-lunar industrial era. With the Orion capsule, Integrity, safely back at the Johnson Space Center, the message is clear: the path to the Moon and beyond is paved by the Texas workforce. At the Space Workforce Incubator for Texas (SWIFT), we…
For the past two decades, the cloud storage playbook was as reliable as a RAID array. Whether I was working directly with enterprises, AWS, Azure, or Google Cloud, the mission was clear: find the data gravity, demonstrate that our “pipes” were faster and cheaper than the other guy’s, and move the petabytes. We cut our…