Niche Benchmark Outcome

A realistic alternative is that the 3.4x number proves workload-specific, with smaller gains once users vary models, prompts, context lengths, and quantization settings. In this scenario, llama.cpp remains important, but the result does not materially change hardware purchasing or cloud-inference economics.

Each figure is the modeled move of the S&P 500 if the outcome occurs. For information only. Not investment advice.