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Add MiniMax M3 FP8 non-MTP disagg configs for 1k1k/8k1k #223

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2251476
add configs
richardhuo-nv Jun 15, 2026
5caabe3
add 8k1k receipes
richardhuo-nv Jun 16, 2026
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80 changes: 80 additions & 0 deletions recipes/vllm/minimax-m3/b300-fp8/1k1k/1p1d-dep2-tep8-1k1k.yaml
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name: "minimax-m3-vllm-disagg-b300-1p1d-fp8-dep2-tep8-1k1k"

model:
path: "MiniMaxAI/MiniMax-M3-MXFP8"
container: "vllm/vllm-openai:minimax-m3"
precision: "fp8"

resources:
gpu_type: "b300"
gpus_per_node: 8
prefill_nodes: 1
decode_nodes: 1
prefill_workers: 1
decode_workers: 1
gpus_per_prefill: 2
gpus_per_decode: 8

dynamo:
install: true
version: 1.3.0.dev20260614

frontend:
type: dynamo
enable_multiple_frontends: false

backend:
type: vllm
connector: null

prefill_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

decode_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

vllm_config:
prefill:
tensor-parallel-size: 1
data-parallel-size: 2
data-parallel-rpc-port: 13345
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-cudagraph-capture-size: 2048
max-num-batched-tokens: 2048

decode:
tensor-parallel-size: 8
enable-expert-parallel: true
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-num-seqs: 4096
max-num-batched-tokens: 16384
max-cudagraph-capture-size: 8196

health_check:
max_attempts: 360
interval_seconds: 10

benchmark:
type: "sa-bench"
isl: 1024
osl: 1024
concurrencies: "4x16x64x128x4096"
req_rate: "inf"
81 changes: 81 additions & 0 deletions recipes/vllm/minimax-m3/b300-fp8/1k1k/1p2d-dep2-dep4-1k1k.yaml
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name: "minimax-m3-vllm-disagg-b300-1p2d-fp8-dep2-dep4-1k1k"

model:
path: "MiniMaxAI/MiniMax-M3-MXFP8"
container: "vllm/vllm-openai:minimax-m3"
precision: "fp8"

resources:
gpu_type: "b300"
gpus_per_node: 8
prefill_nodes: 1
decode_nodes: 1
prefill_workers: 1
decode_workers: 2
gpus_per_prefill: 2
gpus_per_decode: 4

dynamo:
install: true
version: 1.3.0.dev20260614

frontend:
type: dynamo
enable_multiple_frontends: false

backend:
type: vllm
connector: null

prefill_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

decode_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

vllm_config:
prefill:
tensor-parallel-size: 1
data-parallel-size: 2
data-parallel-rpc-port: 13345
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-cudagraph-capture-size: 2048
max-num-batched-tokens: 2048

decode:
tensor-parallel-size: 1
data-parallel-size: 4
data-parallel-rpc-port: 13345
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-num-seqs: 1024
max-num-batched-tokens: 16384
max-cudagraph-capture-size: 8196

health_check:
max_attempts: 360
interval_seconds: 10

benchmark:
type: "sa-bench"
isl: 1024
osl: 1024
concurrencies: "2048"
req_rate: "inf"
81 changes: 81 additions & 0 deletions recipes/vllm/minimax-m3/b300-fp8/1k1k/2p1d-dep2-dep8-1k1k.yaml
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Original file line number Diff line number Diff line change
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name: "minimax-m3-vllm-disagg-b300-2p1d-fp8-dep2-dep8-1k1k"

model:
path: "MiniMaxAI/MiniMax-M3-MXFP8"
container: "vllm/vllm-openai:minimax-m3"
precision: "fp8"

resources:
gpu_type: "b300"
gpus_per_node: 8
prefill_nodes: 1
decode_nodes: 1
prefill_workers: 2
decode_workers: 1
gpus_per_prefill: 2
gpus_per_decode: 8

dynamo:
install: true
version: 1.3.0.dev20260614

frontend:
type: dynamo
enable_multiple_frontends: false

backend:
type: vllm
connector: null

prefill_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

decode_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

vllm_config:
prefill:
tensor-parallel-size: 1
data-parallel-size: 2
data-parallel-rpc-port: 13345
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-cudagraph-capture-size: 2048
max-num-batched-tokens: 2048

decode:
tensor-parallel-size: 1
data-parallel-size: 8
data-parallel-rpc-port: 13345
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-num-seqs: 4096
max-num-batched-tokens: 16384
max-cudagraph-capture-size: 8196

health_check:
max_attempts: 360
interval_seconds: 10

benchmark:
type: "sa-bench"
isl: 1024
osl: 1024
concurrencies: "512x4096"
req_rate: "inf"
80 changes: 80 additions & 0 deletions recipes/vllm/minimax-m3/b300-fp8/1k1k/2p1d-dep2-tep8-1k1k.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,80 @@
name: "minimax-m3-vllm-disagg-b300-2p1d-fp8-dep2-tep8-1k1k"

model:
path: "MiniMaxAI/MiniMax-M3-MXFP8"
container: "vllm/vllm-openai:minimax-m3"
precision: "fp8"

resources:
gpu_type: "b300"
gpus_per_node: 8
prefill_nodes: 1
decode_nodes: 1
prefill_workers: 2
decode_workers: 1
gpus_per_prefill: 2
gpus_per_decode: 8

dynamo:
install: true
version: 1.3.0.dev20260614

frontend:
type: dynamo
enable_multiple_frontends: false

backend:
type: vllm
connector: null

prefill_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

decode_environment:
UCX_NET_DEVICES: "all"
UCX_TLS: "rc,cuda_ipc,cuda_copy,sm,self,tcp"
VLLM_FLOAT32_MATMUL_PRECISION: "high"

vllm_config:
prefill:
tensor-parallel-size: 1
data-parallel-size: 2
data-parallel-rpc-port: 13345
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-cudagraph-capture-size: 2048
max-num-batched-tokens: 2048

decode:
tensor-parallel-size: 8
enable-expert-parallel: true
trust-remote-code: true
no-enable-prefix-caching: true
kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
block-size: 128
gpu-memory-utilization: 0.90
max-model-len: 2304
language-model-only: true
stream-interval: 32
max-num-seqs: 4096
max-num-batched-tokens: 16384
max-cudagraph-capture-size: 8196

health_check:
max_attempts: 360
interval_seconds: 10

benchmark:
type: "sa-bench"
isl: 1024
osl: 1024
concurrencies: "32"
req_rate: "inf"
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