@AntonRGordon

How Anton R Gordon Designs Low-Latency AI Systems for High-Frequency Decision Environments

3d ago · 4 min read · In modern enterprise environments, AI systems are no longer operating in isolated analytics workflows. They are increasingly embedded into environments where decisions must happen in milliseconds—fina

Agentic Equity Research on AWS: Getting to the Truth Faster – Insights from Anton R Gordon

Apr 18 · 4 min read · “Don’t ask the model to guess, design the system to retrieve and compute what’s true.” That idea sits at the core of how modern AI should be applied in financial systems. In equity research, speed mat

Amazon Bedrock Model Access and Region Strategy: Avoiding the “Listed but Not Invokable” Trap

Apr 13 · 5 min read · Why region strategy is a GenAI architecture decision In AWS GenAI projects, teams often treat region selection like a checkbox. In reality, the region is part of the architecture. Model availability,

Optimizing CUDA and RAG Systems with Profiling and Evaluation Frameworks

Nov 24, 2025 · 3 min read · By Anton R Gordon Understanding both hardware efficiency and answer quality is essential for building high-performance, trustworthy AI systems. CUDA workloads rely heavily on GPU utilization and kernel design, while retrieval-augmented generation (RA...

Scaling LLM Inference: Optimization Frameworks from First Principles

Oct 26, 2025 · 3 min read · Training large language models is expensive. Deploying them efficiently is even harder. As models like Llama 3, Mixtral, or Nemotron grow in size, the ability to optimize inference and training workflows determines whether they can be realistically u...