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[V1] Increase default batch size for H100/H200 (#12369)

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Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
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Woosuk Kwon 2025-01-23 19:19:55 -08:00 committed by GitHub
parent 55ef66edf4
commit 0e74d797ce
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1 changed files with 16 additions and 5 deletions
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vllm/engine/arg_utils.py
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@ -1279,11 +1279,22 @@ class EngineArgs:
self.enable_chunked_prefill = True self.enable_chunked_prefill = True
# When no user override, set the default values based on the usage # When no user override, set the default values based on the usage
# context. # context.
# TODO(woosuk): Tune the default values for different hardware. # Use different default values for different hardware.
default_max_num_batched_tokens = { from vllm.platforms import current_platform
UsageContext.LLM_CLASS: 8192, device_name = current_platform.get_device_name().lower()
UsageContext.OPENAI_API_SERVER: 2048, if "h100" in device_name or "h200" in device_name:
} # For H100 and H200, we use larger default values.
default_max_num_batched_tokens = {
UsageContext.LLM_CLASS: 16384,
UsageContext.OPENAI_API_SERVER: 8192,
}
else:
# TODO(woosuk): Tune the default values for other hardware.
default_max_num_batched_tokens = {
UsageContext.LLM_CLASS: 8192,
UsageContext.OPENAI_API_SERVER: 2048,
}
if (self.max_num_batched_tokens is None if (self.max_num_batched_tokens is None
and usage_context in default_max_num_batched_tokens): and usage_context in default_max_num_batched_tokens):
self.max_num_batched_tokens = default_max_num_batched_tokens[ self.max_num_batched_tokens = default_max_num_batched_tokens[