Anton R Gordon on Why Modern LLMs Think in Context, Not Sequences: The Evolution Beyond Self-AttentionJul 4, 2026·5 min read
Anton R Gordon on Building AI-Powered Equity Research Systems That Analysts Actually TrustJun 20, 2026·4 min read
Anton R Gordon on Prefill vs. Decode: Finding the Real Bottleneck in LLM Inference By Anton R Gordon When an LLM endpoint feels slow, the instinct is usually to blame the model. The model is too large. The GPU is too slow. The context window is too long. We need more GPUs. But thoseSep 27, 2026·12 min read
How Anton R Gordon Designs Low-Latency AI Systems for High-Frequency Decision EnvironmentsMay 11, 2026·4 min read
Agentic Equity Research on AWS: Getting to the Truth Faster – Insights from Anton R GordonApr 18, 2026·4 min read
Amazon Bedrock Model Access and Region Strategy: Avoiding the “Listed but Not Invokable” TrapBy Anton R GordonApr 13, 2026·5 min read
Optimizing CUDA and RAG Systems with Profiling and Evaluation FrameworksBy 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...Nov 24, 2025·3 min read
Scaling LLM Inference: Optimization Frameworks from First PrinciplesTraining 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...Oct 26, 2025·3 min read
Anton R Gordon on Real-Time AI in Financial Services: High-Throughput Systems for Yield Curve Inversion and FX HedgingReal-time decisioning in financial services—especially for macro events like yield-curve inversions and fast FX exposures—demands an architecture that combines ultra-low latency market data ingest, high-throughput model inference, robust risk control...Oct 18, 2025·3 min read
Anton R Gordon’s Framework for Serverless AI Architectures with AWS LambdaIn the evolving world of artificial intelligence and cloud computing, Anton R Gordon, an accomplished AI Architect and Cloud Specialist, continues to pioneer frameworks that make AI deployment faster, scalable, and cost-efficient. One of his most inf...Oct 12, 2025·3 min read
Why Self-Host Agentic RAGAgent teams (planner, retriever, ranker, synthesizer) thrive when latency is predictable, privacy is strict, and costs are controlled. That’s why I deploy them on Amazon EKS with vLLM as the serving layer: you keep data in-VPC, pin workloads to GPUs,...Sep 17, 2025·3 min read