Performance over Portability? Running Local LLMs on the Asus ProArt 13
Can a thin-and-light PC handle production-level LLMs? We benchmark the Asus ProArt 13 with RTX 4060, the Ryzen AI 9 NPU, and the 8GB VRAM bottleneck.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
The Agent Supervisor Pattern: Why Your Mesh Needs a Boss
Autonomous agents are prone to infinite reasoning loops and 'democratic' indecision. We explore the Supervisor pattern in LangGraph, MCP, and why orchestration beats choreography.
· StrategySpot Market Arbitrage for AI: The Economics of Fault Tolerance
If your training loop isn't fault-tolerant, you're paying a 40% 'insurance tax' to your cloud provider. We look at the architectural cost of 30-second preemption notices.
Visualizing All-Reduce Bandwidth: The Physics of Distributed Training
When your model doesn't fit on one GPU, you're no longer just learning coding-you're learning physics. We dive deep into the primitives of NCCL, distributed collectives, and why the interconnect is the computer.
· StrategySqueezing the Inference Lever: The Economics of LLM Throughput
Inference price isn't a fixed cost-it's an engineering variable. We break down the three distinct levers of efficiency: Model Compression, Runtime Optimization, and Deployment Strategy.
My Profiling Nightmare: The Warp Stall
A war story of chasing a 5ms latency spike to a single loose thread. How to read Nsight Systems and spot Warp Divergence.