Multi-model agent infrastructure. Voice or text in, formal strategy out. Real iron, real data, real execution path.
2× Xeon Gold 6258R · 112 threads · 754GB RAM · 153TB
All Kaiko crypto data · Agent runs 24/7 · Python 3.12
2× Xeon Gold 6152 · 88 threads · 628GB RAM
TAQ/DTAQ · WRDS · NASDAQ · Transcripts · Kerberos SSH
12 ECCO nodes · 660 cores · 3.5TB RAM total
H100/A100/A40 GPUs · SLURM · GROMACS · AlphaFold
2.7PB Lustre parallel filesystem
Redundancy node · Auto-sync every 6h
Reverse SSH tunnel to BioHPC
Can continue research if primary offline
Primary agent: data → hypothesis → code → analysis → paper. Stateful memory. Voice-controlled via Telegram + OpenClaw.
Literature review, academic writing, complex analysis, cross-model fact-checking and review.
Audio transcription (Chinese-English), native audio/video generation, rapid summarization.
Error log prevents repeated mistakes. Technical state persists; research judgments start fresh to avoid bias.
Run at 80% capacity. Prevent OOM crashes. Every script independently runnable.
Technical details persist. Research judgments start fresh — no confirmation bias.
All discrepancies with literature documented transparently, not hidden.
Each API call rents billions in infrastructure. ~20M× cost-to-infra ratio.