
Benchmarking FP8 Stability: Where Gradients Go to Die
FP8 is the new frontier for training efficiency, but it breaks in the most sensitive layers. We dissect the E4M3/E5M2 split and how to spot divergence.

FP8 is the new frontier for training efficiency, but it breaks in the most sensitive layers. We dissect the E4M3/E5M2 split and how to spot divergence.

We’re moving past static dashboards and iframes. We explore the A2UI protocol, how models choose their own blueprints, and the future of morphing interfaces.

Buying expensive GPUs to wait on cheap storage is an operational failure. We break down the math of 'Badput' and why high-performance I/O is actually a discount.

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.

Autonomous agents are prone to infinite reasoning loops and 'democratic' indecision. We explore the Supervisor pattern in LangGraph, MCP, and why orchestration beats choreography.

A model is only as smart as its router. We explore the physics of expert zones, the tax of token dropping, and how to keep your load balancer honest.