HBM-Aware Load Balancing with libtpu and GKE
CPU load is a trailing indicator for AI inference. Discover how to use libtpu metrics and the GKE Gateway API to build high-density, memory-aware traffic routing for TPUs.
Tag: Infrastructure
· StrategyThe Valuation of Open Weights: The Intelligence Supply Chain
Open source models are transforming AI from a variable SaaS cost into a strategic capital asset. Discover why owning the weights is the key to Sovereign AI and a 70% reduction in long-term TCO.
Dynamic LoRA Adapters: The Anti-Monolith Strategy
Stop training dozens of specialized foundation models. Discover how dynamic Low-Rank Adaptation hot-swapping fundamentally transforms multi-tenant inference infrastructure.
The Storage Wall: Why Your GPUs are Waiting on GCS
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.
The Compute-to-Cashflow Gap
The AI industry is shifting from celebrating large compute budgets to hunting for efficiency. Your competitive advantage is no longer your GPU count, but your cost-per-inference.
· StrategyThe Reliability Tax: Why Cheap GPUs Cost More
In the Llama 3 training run, Meta experienced 419 failures in 54 days. This post breaks down the unit economics of 'Badput' - the compute time lost to crashes - and why reliability is the only deflationary force in AI.