by Robert Sarvis | Oct 15, 2026 | Featured, Insights |
TL;DR: Key Takeaways Architecture is the first cost control. Technology selection determines long-term cloud spending patterns, operational complexity, and scalability. Automate non-production environments. Development, testing, and staging resources should run only...
by Robert Sarvis | Sep 2, 2026 | Featured, Insights |
TL;DR: Key Takeaways Linux can be a strong developer workstation option when teams are not dependent on Windows- or macOS-specific development requirements. Open-source flexibility and Unix-like architecture make Linux particularly appealing to developers already...
by Robert Sarvis | Aug 4, 2026 | Featured, Insights |
As enterprises increasingly evaluate where local AI fits alongside cloud-based frontier models, understanding the tradeoffs between cost, performance, and capability is becoming an important architectural consideration. While cloud models remain the right choice for...
by Robert Sarvis | Jul 13, 2026 | Featured, Insights |
As enterprise organizations continue investing in AI, there is growing value in creating environments where teams can safely experiment with models, optimize infrastructure, and better understand the operational realities of running AI workloads. While production...
by Robert Sarvis | Jul 3, 2026 | Featured, Insights |
As enterprises continue evaluating where AI workloads should run, local inference is becoming a more practical option for specific use cases. Organizations are looking for ways to maximize existing hardware, reduce inference costs, and keep sensitive workloads...
