Recent Articles
16/21 - Agents Need Infrastructure Too: MCP and Workflow Orchestration
A production-focused guide to agents need infrastructure too: mcp and workflow orchestration, with architecture, capacity math, failure analysis, and operational controls.
15/21 - The Router Is Part of the Model: Routing, Hedging, and Fallback
A production-focused guide to the router is part of the model: routing, hedging, and fallback, with architecture, capacity math, failure analysis, and operational controls.
14/21 - Benchmarking Without Lying: Evals, Load Tests, and A/B Experiments
A production-focused guide to benchmarking without lying: evals, load tests, and a/b experiments, with architecture, capacity math, failure analysis, and operational controls.
13/21 - Can You Debug a Token? Observability for AI Systems
A production-focused guide to can you debug a token? observability for ai systems, with architecture, capacity math, failure analysis, and operational controls.
12/21 - Cache the Right Thing: Prompt, Semantic, and Cost-Aware Reuse
A production-focused guide to cache the right thing: prompt, semantic, and cost-aware reuse, with architecture, capacity math, failure analysis, and operational controls.
11/21 - RAG That Survives Production: Embeddings, Retrieval, and Evidence
A production-focused guide to rag that survives production: embeddings, retrieval, and evidence, with architecture, capacity math, failure analysis, and operational controls.
10/21 - Fine-Tuning Without the Full Bill: LoRA, QLoRA, and PEFT
A production-focused guide to fine-tuning without the full bill: lora, qlora, and peft, with architecture, capacity math, failure analysis, and operational controls.
9/21 - One Model, Many Accelerators: Multi-GPU and Multi-Node Inference
A production-focused guide to one model, many accelerators: multi-gpu and multi-node inference, with architecture, capacity math, failure analysis, and operational controls.
8/21 - The Fabric Between GPUs: NCCL, InfiniBand, RoCE, and GPUDirect
A production-focused guide to the fabric between gpus: nccl, infiniband, roce, and gpudirect, with architecture, capacity math, failure analysis, and operational controls.
7/21 - Kubernetes Meets GPUs: Containers, Scheduling, and Isolation
A production-focused guide to kubernetes meets gpus: containers, scheduling, and isolation, with architecture, capacity math, failure analysis, and operational controls.