Scaling Recommendations with TPU SparseCore
TPU SparseCore: How specialized silicon solves the massive memory bottleneck of embedding lookups in large-scale recommendation models.
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.
Measuring Tool Use Correctness & Plan Adherence
Deep dive into measuring tool use correctness & plan adherence.
· StrategyThe Agency as an R&D SaaS Incubator
Deep dive into the agency as an r&d saas incubator.
GitOps for Multi-Agent Workflows
Deep dive into gitops for multi-agent workflows.
Speculative Decoding Infrastructure: Squeezing Latency without Hardware Upgrades
The bottleneck for LLMs is memory bandwidth, not compute. Discover how to use speculative decoding on GCP to achieve 3x speedups by using small "draft" models to accelerate massive "oracle" models.
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.