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[Klaud Cold] Update MiniMax-M3 FP4 GB300 Dynamo vLLM AgentX disagg image to v0.32.0 / [Klaud Cold] 将 MiniMax-M3 FP4 GB300 Dynamo vLLM AgentX 分离式镜像更新至 v0.32.0 #4616

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[Klaud Cold] Update MiniMax-M3 FP4 GB300 Dynamo vLLM AgentX disagg image to v0.32.0 / [Klaud Cold] 将 MiniMax-M3 FP4 GB300 Dynamo vLLM AgentX 分离式镜像更新至 v0.32.0 #4616

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8d49630
chore(configs): bump MiniMax-M3 FP4 GB300 Dynamo vLLM disagg image to…
github-actions[bot] Oct 28, 2026
bac80d5
fix(recipes): use FLASHINFER for MiniMax-M3 GB300 EAGLE3 drafter on v…
github-actions[bot] Oct 28, 2026
b5f1ca3
fix(recipes): pin Dynamo 1.6.0.dev20261010 for MiniMax-M3 GB300 vLLM …
github-actions[bot] Oct 28, 2026
1bb2867
fix(recipes): pin Dynamo 1.7.0.dev20261025 for MiniMax-M3 GB300 vLLM …
github-actions[bot] Oct 28, 2026
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44 changes: 22 additions & 22 deletions ...chmarks/multi_node/srt-slurm-recipes/minimaxm3/vllm/gb300-fp4/agentx/disagg-variants.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -6,11 +6,11 @@ base:
model: {}
container: {}
frameworks:
dynamo: "1.4.0.dev20260730"
dynamo: "1.7.0.dev20261025"
dynamo:
install: true
source:
pypi: "1.4.0.dev20260730"
pypi: "1.7.0.dev20261025"
health_check:
max_attempts: 2160
interval_seconds: 10
Expand Down Expand Up @@ -174,12 +174,12 @@ override_1p1d_tep4_tp4_c1:
tensor-parallel-size: 4
enable-expert-parallel: true
all2all-backend: "flashinfer_nvlink_one_sided"
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
decode:
nodes: 1
workers: 1
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'

override_1p1d_tep4_tp4_c1_eval:
name: "minimax-m3-vllm-disagg-gb300-1p1d-tep4-tp4-c1-fp4-eval-agentic"
Expand All @@ -192,12 +192,12 @@ override_1p1d_tep4_tp4_c1_eval:
tensor-parallel-size: 4
enable-expert-parallel: true
all2all-backend: "flashinfer_nvlink_one_sided"
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
decode:
nodes: 1
workers: 1
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'

override_1p1d_tp2_tp4_c20_c24:
name: "minimax-m3-vllm-disagg-gb300-1p1d-tp2-tp4-c20-c24-fp4-agentic"
Expand All @@ -206,12 +206,12 @@ override_1p1d_tp2_tp4_c20_c24:
roles:
prefill:
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
decode:
nodes: 1
workers: 1
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'

override_1p1d_tp2_tp4_c20_c24_eval:
name: "minimax-m3-vllm-disagg-gb300-1p1d-tp2-tp4-c20-c24-fp4-eval-agentic"
Expand All @@ -220,12 +220,12 @@ override_1p1d_tp2_tp4_c20_c24_eval:
roles:
prefill:
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
decode:
nodes: 1
workers: 1
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'

override_1p3d_dep4_tp4_c24:
name: "minimax-m3-vllm-disagg-gb300-1p3d-dep4-tp4-c24-fp4-agentic"
Expand All @@ -240,12 +240,12 @@ override_1p3d_dep4_tp4_c24:
data-parallel-rpc-port: 13345
enable-expert-parallel: true
all2all-backend: "flashinfer_nvlink_one_sided"
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
decode:
nodes: 3
workers: 3
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'

override_1p3d_dep4_tp4_c24_eval:
name: "minimax-m3-vllm-disagg-gb300-1p3d-dep4-tp4-c24-fp4-eval-agentic"
Expand All @@ -260,12 +260,12 @@ override_1p3d_dep4_tp4_c24_eval:
data-parallel-rpc-port: 13345
enable-expert-parallel: true
all2all-backend: "flashinfer_nvlink_one_sided"
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
decode:
nodes: 3
workers: 3
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'

override_1p3d_tp2_tp2_c48:
name: "minimax-m3-vllm-disagg-gb300-1p3d-tp2-tp2-c48-fp4-agentic"
Expand All @@ -276,14 +276,14 @@ override_1p3d_tp2_tp2_c48:
roles:
prefill:
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
decode:
nodes: 3
workers: 3
gpus: 2
args:
tensor-parallel-size: 2
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'

override_1p3d_tp2_tp2_c48_eval:
name: "minimax-m3-vllm-disagg-gb300-1p3d-tp2-tp2-c48-fp4-eval-agentic"
Expand All @@ -294,14 +294,14 @@ override_1p3d_tp2_tp2_c48_eval:
roles:
prefill:
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
decode:
nodes: 3
workers: 3
gpus: 2
args:
tensor-parallel-size: 2
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'

override_2p5d_tp2_tp2_c120:
name: "minimax-m3-vllm-disagg-gb300-2p5d-tp2-tp2-c120-fp4-agentic"
Expand All @@ -314,14 +314,14 @@ override_2p5d_tp2_tp2_c120:
nodes: 2
workers: 2
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
decode:
nodes: 5
workers: 5
gpus: 2
args:
tensor-parallel-size: 2
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'

override_2p5d_tp2_tp2_c120_eval:
name: "minimax-m3-vllm-disagg-gb300-2p5d-tp2-tp2-c120-fp4-eval-agentic"
Expand All @@ -334,11 +334,11 @@ override_2p5d_tp2_tp2_c120_eval:
nodes: 2
workers: 2
args:
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
decode:
nodes: 5
workers: 5
gpus: 2
args:
tensor-parallel-size: 2
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
2 changes: 1 addition & 1 deletion inferencex-e2e/configs/nvidia-master.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -5453,7 +5453,7 @@ minimaxm3-fp4-b300-vllm-agentic-mtp:
- { tp: 2, spec-decoding: mtp, kv-offloading: dram, kv-offload-backend: { name: vllm-simple }, conc-list: [24, 28], srt-recipe: agentic.yaml }

minimaxm3-fp4-gb300-dynamo-vllm-agentic-mtp-disagg:
image: vllm/vllm-openai:nightly-5e35a6f4f9bbc217c599692157ca985c894373f7
image: vllm/vllm-openai:v0.32.0@sha256:befccf0e7e4089aa23926bb6f887a85c0d46c2a99e6de5c5ffdf5cb7957c5b34
model: nvidia/MiniMax-M3-NVFP4
model-prefix: minimaxm3
runner: cluster:gb300-nv
Expand Down
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