Open Weights, Serving Decisions
Compare model families through weight residency, attention state, numerical formats and deployment requirements. Includes a dated review of recent open-weight releases.
Premium PDFFive detailed references for the decisions between a model checkpoint and a reliable stream of tokens. Worked calculations, technical drawings and source notes, ready to read away from a browser.
Compare model families through weight residency, attention state, numerical formats and deployment requirements. Includes a dated review of recent open-weight releases.
Premium PDFA hardware reference organized around serving decisions: memory per rank, interconnect limits, software support and useful throughput under a latency target.
Free with an accountFollow cache-aware routing, prefill and decode pools, multi-node workers and rollouts through a Kubernetes serving graph, with worked capacity and failure cases.
Premium PDFAn operating manual for engine configuration, latency clocks, memory limits, profiling, observability and incident recovery. Includes a CPU analysis companion.
Premium PDFA linked reference from GPU execution and memory traffic to distributed decoding and service metrics. Worked cases expose the distinctions that matter in inference reviews.
Premium PDFEight pages of serving decisions and worked calculations. Read the online edition with Premium, or download it with eligible PDF access.
Open the compact field guide →Each book states its source review dates. Specifications and engine behavior can change. Worked examples explain the arithmetic; the books do not claim new GPU benchmarks.
Work through the inference lab →