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Results if we run inference over 128 prompts instead of 16
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Tuning the Evo2 batch size to max size in 1 x H100
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As a function of # prompts
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Add per-spec GPU allocation so Evo2 40B can reserve two visible GPUs while one-GPU serving benchmarks continue to run on individual devices. Also label GENERator vLLM runs from the selected model name. Co-authored-by: Codex <codex@openai.com>
Record output_bp_per_second in serving benchmark summary rows using the model family's output-token-to-base-pair ratio. Co-authored-by: Codex <codex@openai.com>
Add commands for dry-run, Carbon vLLM, speculative decoding, full-node comparisons, and direct Evo2 serving benchmarks. Fix the serving wrapper's Evo2 helper path so the documented wrapper can launch it. Co-authored-by: Codex <codex@openai.com>
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