AMD Instinct MI355X vs NVIDIA B200 Inference Evaluation
Signal65 conducted a three level evaluation of AMD Instinct MI355X GPU platform compared to NVIDIA HGX B200 GPU platform, evaluating three aspects.
The Economics of Agentic AI
Signal65 validated analysis shows that
The Dell AI Factory with NVIDIA can breakeven in as few as two months, compared to public cloud APIs.
Digital Twins as the Control Plane for Physical AI
This paper presents a different way of thinking about what a digital twin is. A continuously learning operational mirror of a physical asset.
Dell PowerEdge XE7745 RAG Evolution
Retrieval-Augmented Generation (RAG) emerged as the foundation for trustworthy AI at scale, linking generative models to proprietary knowledge sources through search, embeddings, and vector databases.
Measured Leadership with Agentic AI on Open Models
Signal65 and Kamiwaza have collaborated to establish a new AI benchmark which measures model performance for enterprise-focused agentic tasks.
Azure ND GB300 v6 Performance
Performance at this level is a key enabler for the next wave of AI innovation, particularly for the complex, agentic systems.
Optimizing Enterprise AI: Accelerating Time to Value with Supermicro Platforms with AMD
This report provides an in-depth analysis of a total AI solution comprising the AMD Instinct™ MI355X GPUs deployed on Supermicro’s H14 application -optimized server platforms.
Network Topology Optimization for AI Workloads
Exponential growth in AI model complexity has driven data center networking to become a critical factor in system performance.
Scaling AI with Dell PowerEdge XE9680
Scaling AI operations across organizations is no longer a purely technical discussion, it is a strategic requirement.
The Future of Computing with AI Accelerated Software
Signal65 explores the key AI-enabled capabilities emerging within the Windows ecosystem, highlighting how NPUs are unlocking new levels of performance and efficiency across everyday tasks, enterprise workflows, and entirely new user experiences.