Founder-led notes on MERQUAN, NVIDIA developer work, market infrastructure, exchange connectivity, terminal design, and the systems thinking behind CMOS.
A clean starting shelf for the first three posts you will provide. Each post will become a polished MERQUAN article with clear category, date, summary and source links where required.
NVIDIA's May 27, 2026 technical post frames why accelerated LLM inference matters in finance: EDGAR-scale analysis, batch and interactive throughput, TensorRT-LLM, and Blackwell-class performance for financial reasoning workloads.
NVIDIA's May 21, 2026 post outlines a signal-discovery loop using NIM, NeMo Agent Toolkit, backtesting, IC scoring, optimization feedback, and observability for quantitative research workflows.
How live venues, historical data, quantitative engines, and terminal interfaces can be organised into one system without becoming another fragmented dashboard stack.
Spread, depth, timing, liquidity pressure, and regime state should be read together. A serious terminal must expose execution context, not only price.
Notes from the MERQUAN engineering estate: GPU systems, runtime discipline, deterministic services, and investor-grade observability without public disclosure of sensitive routes.
A public-facing explanation of why the seat matters: 22, 24, and 28 inch terminal workflows plus Surface Pro inclusion for mobility.