Research - Signal65

Improving AI Inference with AMD EPYC Host CPUs

This report explores the important role of the host CPU and evaluates the impact they have on AI performance.

Azure Maia 200 and the New Era of Hyperscaler Inference Silicon

Azure Maia 200 represents a meaningful step in Microsoft’s effort to build differentiated AI infrastructure for the inference era.

Maximizing Network Value

This analysis quantifies and compares network adapters based on time accuracy, stability, robustness, power efficiency, flexible and broad port density options, and other critical selection factors, to identify the optimal hardware solution for mission-critical applications.

The Kompanio Ultra 910 Architectural Advantage

The ultimate goal of this Signal65 Lab Insights report is to compare the Kompanio Ultra 910 to competing silicon in both Chromebooks and Windows PCs.

Benchmarking Leadership in Open and Proprietary Models

This report evaluates agentic AI capability with the Kamiwaza Agentic Merit Index (KAMI) Benchmark and provides analysis of the agentic AI landscape as of Q1 2026.

The Unified HPE ProLiant Compute Infrastructure Stack

In this report, we cover the HPE ProLiant DL145 Gen11 server powered by the AMD EPYC™ 8124P processor, evaluated to determine its resilience to thermal stress in terms of sound levels and workload latencies, along with edge deployment options and capabilities.