Rack-Scale AI Design: The End of Component Scaling
We have hit the physical limits of what a single chip can do. The new unit of compute for AI infrastructure isn't the GPU; it's the fully integrated rack.
Tag: architecture
TTFT vs ITL: The Two Metrics Defining Inference Performance
Average latency is a lie that hides tail-end failures. To truly optimize AI inference in 2026, you must separate your Time To First Token from your Inter-Token Latency.
The Infinite Board Problem: Pruning State in Long-Running Reasoning Loops
How to manage the shared state size in complex reasoning loops to prevent context window overflow without losing critical history.
ADK vs. LangChain: The Protocol-First Shift
Class-based chains are a legacy pattern. Discover why Google ADK and its open Agent Protocol are the future of interoperable, production-grade multi-agent systems.
Stateful Agents on K8s: Redis is Your Bottleneck, Not the Vector DB
Agents are stateless. Their memory is not. Scaling the LLM reasoning loop is trivial compared to solving the transactional concurrency of agent memory on Kubernetes.
A2A Architectures: Tools are not just Functions (The Two-Phase Commit)
Why Agent-to-Agent (A2A) interactions and Side Effects require a 'Two-Phase Commit' for safety.