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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 4, 13:45 UTC

Add tuned triton fused_moe configs on H100 for gpt-oss (#39904)

Signed-off-by: zhangxin81 <115389973+zhangxin81@users.noreply.github.com>

zhangxin81 committed Apr 28, 2026 at 18:38 UTC de3da0b97cd9db8b1d429312992a5759c89ef881
1 file changed +147
vllm/model_executor/layers/fused_moe/configs/E=128,N=2880,device_name=NVIDIA_H100_80GB_HBM3.json new
+147
@@ -0,0 +1,147 @@
1 +{
2 + "triton_version": "3.6.0",
3 + "1": {
4 + "BLOCK_SIZE_M": 16,
5 + "BLOCK_SIZE_N": 32,
6 + "BLOCK_SIZE_K": 64,
7 + "GROUP_SIZE_M": 1,
8 + "num_warps": 4,
9 + "num_stages": 4
10 + },
11 + "2": {
12 + "BLOCK_SIZE_M": 16,
13 + "BLOCK_SIZE_N": 32,
14 + "BLOCK_SIZE_K": 64,
15 + "GROUP_SIZE_M": 1,
16 + "num_warps": 4,
17 + "num_stages": 3
18 + },
19 + "4": {
20 + "BLOCK_SIZE_M": 16,
21 + "BLOCK_SIZE_N": 64,
22 + "BLOCK_SIZE_K": 128,
23 + "GROUP_SIZE_M": 64,
24 + "num_warps": 4,
25 + "num_stages": 4
26 + },
27 + "8": {
28 + "BLOCK_SIZE_M": 16,
29 + "BLOCK_SIZE_N": 64,
30 + "BLOCK_SIZE_K": 128,
31 + "GROUP_SIZE_M": 64,
32 + "num_warps": 4,
33 + "num_stages": 4
34 + },
35 + "16": {
36 + "BLOCK_SIZE_M": 16,
37 + "BLOCK_SIZE_N": 32,
38 + "BLOCK_SIZE_K": 256,
39 + "GROUP_SIZE_M": 16,
40 + "num_warps": 4,
41 + "num_stages": 5
42 + },
43 + "24": {
44 + "BLOCK_SIZE_M": 16,
45 + "BLOCK_SIZE_N": 32,
46 + "BLOCK_SIZE_K": 256,
47 + "GROUP_SIZE_M": 16,
48 + "num_warps": 4,
49 + "num_stages": 5
50 + },
51 + "32": {
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53 + "BLOCK_SIZE_N": 32,
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55 + "GROUP_SIZE_M": 1,
56 + "num_warps": 8,
57 + "num_stages": 4
58 + },
59 + "48": {
60 + "BLOCK_SIZE_M": 16,
61 + "BLOCK_SIZE_N": 32,
62 + "BLOCK_SIZE_K": 256,
63 + "GROUP_SIZE_M": 16,
64 + "num_warps": 4,
65 + "num_stages": 5
66 + },
67 + "64": {
68 + "BLOCK_SIZE_M": 16,
69 + "BLOCK_SIZE_N": 64,
70 + "BLOCK_SIZE_K": 256,
71 + "GROUP_SIZE_M": 1,
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73 + "num_stages": 4
74 + },
75 + "96": {
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78 + "BLOCK_SIZE_K": 256,
79 + "GROUP_SIZE_M": 1,
80 + "num_warps": 4,
81 + "num_stages": 5
82 + },
83 + "128": {
84 + "BLOCK_SIZE_M": 16,
85 + "BLOCK_SIZE_N": 64,
86 + "BLOCK_SIZE_K": 256,
87 + "GROUP_SIZE_M": 1,
88 + "num_warps": 4,
89 + "num_stages": 5
90 + },
91 + "256": {
92 + "BLOCK_SIZE_M": 16,
93 + "BLOCK_SIZE_N": 32,
94 + "BLOCK_SIZE_K": 256,
95 + "GROUP_SIZE_M": 1,
96 + "num_warps": 4,
97 + "num_stages": 5
98 + },
99 + "512": {
100 + "BLOCK_SIZE_M": 32,
101 + "BLOCK_SIZE_N": 64,
102 + "BLOCK_SIZE_K": 256,
103 + "GROUP_SIZE_M": 1,
104 + "num_warps": 4,
105 + "num_stages": 5
106 + },
107 + "1024": {
108 + "BLOCK_SIZE_M": 64,
109 + "BLOCK_SIZE_N": 128,
110 + "BLOCK_SIZE_K": 128,
111 + "GROUP_SIZE_M": 1,
112 + "num_warps": 8,
113 + "num_stages": 4
114 + },
115 + "1536": {
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117 + "BLOCK_SIZE_N": 128,
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121 + "num_stages": 4
122 + },
123 + "2048": {
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128 + "num_warps": 8,
129 + "num_stages": 5
130 + },
131 + "3072": {
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134 + "BLOCK_SIZE_K": 64,
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137 + "num_stages": 5
138 + },
139 + "4096": {
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141 + "BLOCK_SIZE_N": 256,
142 + "BLOCK_SIZE_K": 64,
143 + "GROUP_SIZE_M": 1,
144 + "num_warps": 8,
145 + "num_stages": 4
146 + }
147 +}