August 4, 2026· ~8 min readServing Frontier MoE Models at Scale: FP8 KV Caches, INT4 Weights, and KV Cache Integrity Frontier mixture-of-experts models are wonderful to serve and very hard to fit into GPU memory. In August 2026, Cloudflare published the operating de
August 1, 2026· ~14 min readSovereign AI on Your Desk: Why Two DGX Sparks Beat the Cloud In 2024, running a 685-billion-parameter model locally meant a rack of A100s, a six-figure power bill, and a PhD in distributed systems. In 2026, it
July 30, 2026· ~6 min readExplicit Prompt Caching for OpenAI GPT-5.6 on Amazon Bedrock: Architecture and Patterns > **Teaser:** OpenAI GPT-5.6 Sol, Terra, and Luna now support explicit prompt caching on Amazon Bedrock — mark exactly which prefix to cache, set you
July 30, 2026· ~5 min readInference Meta-Monitoring for SageMaker AI Endpoints: Governance for Production LLM APIs > **Teaser:** AWS published a reference architecture for inference meta-monitoring on SageMaker AI endpoints — monitoring the monitors themselves. Th
May 31, 2026· ~9 min readTwo-Node DGX Spark Cluster: Running DeepSeek V4 Flash at 20 TPS Two NVIDIA DGX Sparks. One 685B-parameter MoE model. A 3× throughput improvement without a single crash. Here's how. ## The Setup: Two GB10 Workstat
May 22, 2026· ~7 min readToken Cost Efficiency: How Graph Structures Reduce LLM Inference Costs Token costs are the dominant line item in LLM deployment. GPT-4.1 at \$2.30/million input tokens sounds small until you're processing 50 documents pe