Open Weight Inference Compute Planning Framework

Open Weight Inference Compute Planning Framework

Begin with the exact artifact, numeric precision, runtime, hardware, prompt length, output length, concurrency, latency target, throughput target, reliability target, and operating period.

Parameter count multiplied by storage bytes per parameter is only a lower-bound weight estimate. Runtime memory also depends on metadata, buffers, activations, attention cache, batching, context, kernels, fragmentation, and implementation.

Benchmark the complete service on representative traffic. Record load time, memory, time to first token, inter-token latency, end-to-end latency, throughput, concurrency, failures, power, cost, and recovery.