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 5, 21:00 UTC
Add nvidia h800 moe config (#31201)
Signed-off-by: rongfu.leng <rongfu.leng@daocloud.io>
rongfu.leng committed
Mar 28, 2026 at 07:28 UTC
88149b635e3ba9ef70ca18c45876d992ab6c522c
2 files changed
+294
vllm/model_executor/layers/fused_moe/configs/E=128,N=192,device_name=NVIDIA_H800,dtype=fp8_w8a8.json
new
+147
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+{
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+ "512": {
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+ "num_warps": 8,
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+ "num_stages": 3
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+ }
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+}
vllm/model_executor/layers/fused_moe/configs/E=128,N=384,device_name=NVIDIA_H100_80GB_HBM3.json
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+147
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+{
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+ "triton_version": "3.5.1",
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+ "1": {
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+ "BLOCK_SIZE_M": 16,
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+ "BLOCK_SIZE_N": 32,
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+ "BLOCK_SIZE_K": 128,
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+ "GROUP_SIZE_M": 64,
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+ "num_warps": 4,
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+ "num_stages": 4
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+ },
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+ "2": {
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+ "BLOCK_SIZE_K": 64,
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+ "num_warps": 4,
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+ "4": {
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+ "8": {
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+ },
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+ "16": {
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+ },
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+ "24": {
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+ "32": {
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+ },
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+ "48": {
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+ "128": {
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+ "512": {
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+ },
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+ "2048": {
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+ "4096": {
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+ "num_stages": 4
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+ }
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+}