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Tune memory arguments on B200 (#6718)

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This commit is contained in:
Baizhou Zhang
2025-05-29 00:03:22 -07:00
committed by GitHub
parent c459536b0f
commit f2bd3515fb
2 changed files with 8 additions and 2 deletions
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2
python/sglang/srt/model_executor/cuda_graph_runner.py
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@@ -149,6 +149,8 @@ def get_batch_sizes_to_capture(model_runner: ModelRunner):
gpu_mem = get_device_memory_capacity()
if gpu_mem is not None and gpu_mem > 96 * 1024:
capture_bs += list(range(160, 257, 8))
if gpu_mem is not None and gpu_mem > 180 * 1000:
capture_bs += list(range(256, 528, 16))
if max(capture_bs) > model_runner.req_to_token_pool.size:
# In some case (e.g., with a small GPU or --max-running-requests), the #max-running-requests

8
python/sglang/srt/server_args.py
View File

@@ -260,7 +260,9 @@ class ServerArgs:
self.mem_fraction_static = 0.88
else:
self.mem_fraction_static = 0.88
if gpu_mem is not None and gpu_mem > 96 * 1024:
if gpu_mem is not None and gpu_mem > 180 * 1000:
self.mem_fraction_static = 0.79
elif gpu_mem is not None and gpu_mem > 96 * 1024:
mem_fraction = self.mem_fraction_static
# 15 GB + additional 3GB for cuda graph
reserve_mem = 1024 * 18
@@ -277,7 +279,9 @@ class ServerArgs:
# Set chunked prefill size, which depends on the gpu memory capacity
if self.chunked_prefill_size is None:
if gpu_mem is not None and gpu_mem < 25_000:
if gpu_mem is not None and gpu_mem > 180_000:
self.chunked_prefill_size = 16384
elif gpu_mem is not None and gpu_mem < 25_000:
self.chunked_prefill_size = 2048
elif self.disaggregation_mode != "null":
self.chunked_prefill_size = 16384