Bring this branch up to current main (DSA path moved out of nvidia/)

.buildkite/amd-disagg/cluster.sh

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+#!/bin/bash
+# =============================================================================
+# cluster.sh — single, generic config for the vLLM disaggregated (P/D) launcher.
+# -----------------------------------------------------------------------------
+# This script is *sourced* by vllm_disagg.sh.
+#
+# Every value is `${VAR:-default}`, so the environment always wins:
+#       environment variable  >  built-in default below
+#
+# So you can override anything inline:
+#   PREFILL_IP=10.0.0.1 DECODE_IP=10.0.0.2 ./vllm_disagg.sh prefill
+#
+# Site-specific values (model dir, IPs, NIC list, partition) are the defaults
+# in the "site defaults" sections below — edit those for a new cluster.
+# Model-SPECIFIC perf flags live in models.yaml, NOT here.
+# =============================================================================
+
+_CLUSTER_SH_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+# ----------------------------------------------------------------- model / mode
+# MODEL_NAME indexes into models.yaml; MODEL_DIR is the parent dir holding it.
+# MODEL_PATH (resolved by the launcher) = ${MODEL_DIR}/${MODEL_NAME}.   [site]
+export MODEL_NAME="${MODEL_NAME:-DeepSeek-V3}"
+export MODEL_DIR="${MODEL_DIR:-/data/models2}"
+
+# Shared NFS root (5 TB, visible on every node): model weights + per-run logs. [site]
+export SHARED_MOUNT="${SHARED_MOUNT:-/data}"
+
+# Parallelism mode (launcher derives PARALLEL_MODE tp|ep from this):
+#   WIDE_EP_MODE=0  tp : each node is an independent TP server (TP8, 1P1D)
+#   WIDE_EP_MODE=1  ep : data-parallel + expert-parallel across xP/yD nodes (wideep)
+export WIDE_EP_MODE="${WIDE_EP_MODE:-0}"
+
+# ----------------------------------------------------------------- topology
+# xP prefill nodes + yD decode nodes. IPADDRS is the ordered, comma-separated
+# node list (prefill IPs first, then decode IPs). NODE_RANK is this node's global
+# 0-based rank; under SLURM it defaults to $SLURM_PROCID. Leave IPADDRS empty to
+# use the PREFILL_IP/DECODE_IP fallback defaults below (1P1D only).
+export xP="${xP:-1}"
+export yD="${yD:-1}"
+export IPADDRS="${IPADDRS:-}"
+export NODE_RANK="${NODE_RANK:-${SLURM_PROCID:-}}"
+export PREFILL_IP="${PREFILL_IP:-10.0.0.1}"
+export DECODE_IP="${DECODE_IP:-10.0.0.2}"
+
+# Per-node GPU count and TP degree
+export GPUS_PER_NODE="${GPUS_PER_NODE:-8}"
+export TP_SIZE="${TP_SIZE:-${GPUS_PER_NODE}}"
+
+# ----------------------------------------------------------------- ports
+# TP-mode (WIDE_EP_MODE=0) server ports.
+export PREFILL_PORT="${PREFILL_PORT:-8100}"
+export DECODE_PORT="${DECODE_PORT:-8200}"
+
+# EP-mode (WIDE_EP_MODE=1) ports: API serve port, DP RPC port, KV transfer port, and
+# per-node MoRIIO local ping port (must differ from PROXY_PING_PORT).
+export SERVE_PORT="${SERVE_PORT:-20005}"
+export RPC_PORT="${RPC_PORT:-13345}"
+export KV_PORT="${KV_PORT:-9711}"
+export LOCAL_PING_PORT="${LOCAL_PING_PORT:-61555}"
+
+# MoRIIO proxy: HTTP port clients/benchmark hit, plus the connector control ports.
+# PROXY_PING_PORT MUST be 36367 — the proxy hardcodes its zmq service-discovery
+# socket on that port; prefill/decode register to PROXY_IP:PROXY_PING_PORT.
+export PROXY_IP="${PROXY_IP:-${PREFILL_IP}}"
+export PROXY_PORT="${PROXY_PORT:-10001}"
+export PROXY_PING_PORT="${PROXY_PING_PORT:-36367}"
+export HANDSHAKE_PORT="${HANDSHAKE_PORT:-6301}"
+export NOTIFY_PORT="${NOTIFY_PORT:-61005}"
+
+export PROXY_SCRIPT="${PROXY_SCRIPT:-/app/vllm/examples/disaggregated/disaggregated_serving/moriio_toy_proxy_server.py}"
+
+# MoRIIO KV transfer direction (injected into --kv-transfer-config by the launcher):
+#   0 -> omit read_mode     (default; MoRIIO write mode: prefill pushes to decode)
+#   1 -> "read_mode": true  (decode pulls KV from prefill; matches upstream disagg)
+export MORIIO_READ_MODE="${MORIIO_READ_MODE:-0}"
+
+# ----------------------------------------------------------------- router / gateway
+# Selection for client (bench/accuracy) traffic:
+#   proxy       -> the in-container MoRIIO proxy started by the launcher
+#   vllm-router -> an external `vllm/vllm-router` container started by the SLURM job
+#                  on the rank-0 node (default)
+# Both use the SAME MoRIIO discovery mechanism (prefill/decode register to
+# PROXY_IP:PROXY_PING_PORT=36367); only the client HTTP front door differs.
+export ROUTER_TYPE="${ROUTER_TYPE:-vllm-router}"
+export ROUTER_PORT="${ROUTER_PORT:-30000}"
+export ROUTER_POLICY="${ROUTER_POLICY:-round_robin}"
+export VLLM_ROUTER_IMAGE="${VLLM_ROUTER_IMAGE:-vllm/vllm-router:nightly}"
+# Single client-facing port bench/accuracy target: the router port when routing,
+# else the proxy port. Env override always wins.
+if [[ "${ROUTER_TYPE}" == "vllm-router" ]]; then
+    export GATEWAY_PORT="${GATEWAY_PORT:-${ROUTER_PORT}}"
+else
+    export GATEWAY_PORT="${GATEWAY_PORT:-${PROXY_PORT}}"
+fi
+
+# Where per-run logs / benchmark results are written. A $SLURM_JOB_ID subdir is
+# appended so each CI run is self-scoped (falls back to 'local' off-SLURM).  [site]
+_LOG_BASE="${LOG_BASE:-/data/${USER:-$(id -un)}/disagg_logs}"
+export LOG_PATH="${LOG_PATH:-${_LOG_BASE}/${SLURM_JOB_ID:-local}}"
+
+# ----------------------------------------------------------------- vLLM runtime
+# Engine/platform/transport-level env (NOT model-specific). Model-architecture
+# AITER kernel toggles live in models.yaml under each model's `env:` block.
+export VLLM_USE_V1="${VLLM_USE_V1:-1}"
+export HSA_NO_SCRATCH_RECLAIM="${HSA_NO_SCRATCH_RECLAIM:-1}"
+
+#export HF_HUB_OFFLINE="${HF_HUB_OFFLINE:-1}"
+#export TRANSFORMERS_OFFLINE="${TRANSFORMERS_OFFLINE:-1}"
+#
+#export HOME=/tmp
+export HF_HOME="${HF_HOME:-/tmp/hf_home}"
+export XDG_CACHE_HOME="${XDG_CACHE_HOME:-/tmp/.cache}"
+export VLLM_ENGINE_READY_TIMEOUT_S="${VLLM_ENGINE_READY_TIMEOUT_S:-3600}"
+
+# ----------------------------------------------------------------- scale
+# DP/EP group formation timeout across nodes (seconds).
+export DISTRIBUTED_TIMEOUT_SECONDS="${DISTRIBUTED_TIMEOUT_SECONDS:-7200}"
+
+# ----------------------------------------------------------------- RDMA / NCCL
+# AMD Pensando AINIC RoCE fabric: 8 NICs exposed as ionic_0..7 (netdevs eth2..9),
+# each rail on its own /24. GID index 1 + traffic class 104
+_IB_DEVICES="${IB_DEVICES:-ionic_0,ionic_1,ionic_2,ionic_3,ionic_4,ionic_5,ionic_6,ionic_7}"
+_IB_GID_INDEX="${NCCL_IB_GID_INDEX:-1}"
+export IB_DEVICES="${IB_DEVICES:-${_IB_DEVICES}}"
+export NCCL_IB_HCA="${NCCL_IB_HCA:-${_IB_DEVICES}}"
+export NCCL_IB_GID_INDEX="${NCCL_IB_GID_INDEX:-${_IB_GID_INDEX}}"
+export NCCL_IB_DISABLE="${NCCL_IB_DISABLE:-0}"
+# In-box RCCL net transport (no external plugin); pin bootstrap to the VPC iface.
+export NCCL_NET_PLUGIN="${NCCL_NET_PLUGIN:-none}"
+export NCCL_SOCKET_IFNAME="${NCCL_SOCKET_IFNAME:-eth0}"
+export GLOO_SOCKET_IFNAME="${GLOO_SOCKET_IFNAME:-${NCCL_SOCKET_IFNAME}}"
+export NCCL_CROSS_NIC="${NCCL_CROSS_NIC:-0}"
+export NCCL_PXN_DISABLE="${NCCL_PXN_DISABLE:-0}"
+export NCCL_NET_DISABLE_INTRA="${NCCL_NET_DISABLE_INTRA:-1}"
+export NCCL_IB_TC="${NCCL_IB_TC:-104}"
+export NCCL_IB_FIFO_TC="${NCCL_IB_FIFO_TC:-192}"
+export NCCL_IB_QPS_PER_CONNECTION="${NCCL_IB_QPS_PER_CONNECTION:-1}"
+export NCCL_IB_TIMEOUT="${NCCL_IB_TIMEOUT:-22}"
+export NCCL_IB_RETRY_CNT="${NCCL_IB_RETRY_CNT:-12}"
+
+# MoRI uses the same NIC set as NCCL.
+export MORI_RDMA_DEVICES="${MORI_RDMA_DEVICES:-${_IB_DEVICES}}"
+export MORI_IB_GID_INDEX="${MORI_IB_GID_INDEX:-${_IB_GID_INDEX}}"
+export MORI_SHMEM_HEAP_SIZE="${MORI_SHMEM_HEAP_SIZE:-16G}"
+
+# Pin to gfx950 to avoid jit compilation failures with other archs on this cluster.
+export MORI_GPU_ARCHS="gfx950"
+
+# ----------------------------------------------------------------- benchmark
+export BENCHMARK_COMBINATIONS="${BENCHMARK_COMBINATIONS:-1024/128 2048/128}"
+export BENCHMARK_CON="${BENCHMARK_CON:-32 64}"
+export NUM_PROMPTS_FACTOR="${NUM_PROMPTS_FACTOR:-2}"
+export BENCHMARK_MIN_PROMPTS="${BENCHMARK_MIN_PROMPTS:-32}"
+
+# ----------------------------------------------------------------- accuracy
+# `accuracy` role runs lm_eval (local-completions backend) against the proxy.
+export ACCURACY_TASKS="${ACCURACY_TASKS:-gsm8k}"
+export ACCURACY_NUM_CONCURRENT="${ACCURACY_NUM_CONCURRENT:-64}"
+export ACCURACY_MAX_RETRIES="${ACCURACY_MAX_RETRIES:-3}"
+export ACCURACY_METRIC="${ACCURACY_METRIC:-exact_match}"
+export ACCURACY_THRESHOLD="${ACCURACY_THRESHOLD:-0.90}"
+
+# ----------------------------------------------------------------- SLURM (submit)
+# Used by run-slurm-disagg-test.sh on the login node (harmless to export here). [site]
+export SLURM_PARTITION="${SLURM_PARTITION:-default}"

.buildkite/amd-disagg/models.yaml

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+# =============================================================================
+# Model catalog for the vLLM disaggregated (P/D) inference CI.
+# -----------------------------------------------------------------------------
+# Loaded by vllm_disagg.sh for the selected MODEL_NAME. WIDE_EP_MODE selects the
+# flag set (0 -> tp keys, 1 -> ep keys):
+#   tp -> base_flags + prefill.tp / decode.tp
+#   ep -> base_flags + prefill.ep / decode.ep
+#
+# Keep ONLY model-specific perf flags here. The launcher owns everything
+# topological / mode-structural:
+#   - tp: --host/--port, --tensor-parallel-size, --kv-transfer-config
+#   - ep: --tp 1, --data-parallel-size[-local], --data-parallel-address/-rpc-port,
+#         --data-parallel-start-rank/--headless (children), --enable-expert-parallel,
+#         --all2all-backend mori, --no-enable-prefix-caching,
+#         --api-server-count + --kv-transfer-config (masters only)
+# Do NOT put any of those in this file.
+#
+# Format: a top-level `models:` list. The launcher selects the entry whose
+# `model:` matches MODEL_NAME. Each entry:
+#   model              : name (must match MODEL_NAME; also the dir under MODEL_DIR)
+#   env                : model/arch-specific environment variables. The launcher
+#                        exports these BEFORE `vllm serve`, but only if they are
+#                        not already set, so precedence is:
+#                            caller/inline env  >  models.yaml env:
+#                        (Transport/fabric/engine env stays in cluster.sh,
+#                         e.g. MORI_RDMA_DEVICES, NCCL_IB_HCA, VLLM_USE_V1.)
+#   base_flags         : always applied (both roles, both modes)
+#   prefill/decode.<tp|ep> : role + mode specific perf flags
+#   experimental_flags : optional extra flags (omit if empty)
+# =============================================================================
+
+models:
+  - model: DeepSeek-V3
+    env:
+      VLLM_ROCM_USE_AITER: "1"
+      VLLM_ROCM_USE_AITER_MLA: "1"
+      VLLM_ROCM_USE_AITER_MOE: "1"
+      VLLM_ROCM_USE_AITER_RMSNORM: "1"
+      VLLM_ROCM_USE_AITER_FUSION_SHARED_EXPERTS: "0"
+    base_flags: "--trust-remote-code --kv-cache-dtype fp8"
+    prefill:
+      tp: "--gpu-memory-utilization 0.85"
+      ep: "--gpu-memory-utilization 0.85 --enforce-eager"
+    decode:
+      tp: "--gpu-memory-utilization 0.85"
+      #ep: '--gpu-memory-utilization 0.75 --enforce-eager'
+      ep: '--gpu-memory-utilization 0.75 --compilation-config {"cudagraph_mode":"PIECEWISE","custom_ops":["+quant_fp8"]}'
+
+  - model: MiniMax-M3-MXFP8
+    env:
+      VLLM_ROCM_USE_AITER: "1"
+      VLLM_ROCM_USE_AITER_MOE: "1"
+      VLLM_ROCM_USE_AITER_RMSNORM: "1"
+      VLLM_USE_BREAKABLE_CUDAGRAPH: "0"
+      VLLM_ROCM_QUICK_REDUCE_QUANTIZATION: "INT6"
+    base_flags: "--trust-remote-code --attention-backend TRITON_ATTN --block-size 128 --language-model-only --kv-cache-dtype fp8"
+    prefill:
+      tp: "--gpu-memory-utilization 0.85 --enforce-eager"
+    decode:
+      tp: "--gpu-memory-utilization 0.85"
+
+  - model: DeepSeek-R1-MXFP4
+    env:
+      VLLM_ROCM_USE_AITER: "1"
+      VLLM_ROCM_USE_AITER_MLA: "1"
+      VLLM_ROCM_USE_AITER_MOE: "1"
+      VLLM_ROCM_USE_AITER_RMSNORM: "1"
+    base_flags: "--trust-remote-code --kv-cache-dtype fp8"
+    prefill:
+      tp: "--gpu-memory-utilization 0.85"
+    decode:
+      tp: "--gpu-memory-utilization 0.85"
+
+  - model: Kimi-K2.5-MXFP4
+    env:
+      VLLM_ROCM_USE_AITER: "1"
+      VLLM_ROCM_USE_AITER_MOE: "1"
+      VLLM_ROCM_USE_AITER_RMSNORM: "1"
+    base_flags: "--trust-remote-code"
+    prefill:
+      tp: "--gpu-memory-utilization 0.85"
+    decode:
+      tp: "--gpu-memory-utilization 0.85"
+
+  - model: Kimi-K2.6-MXFP4
+    env:
+      VLLM_ROCM_USE_AITER: "1"
+      AMDGCN_USE_BUFFER_OPS: "1"
+      VLLM_ROCM_USE_AITER_MLA: "1"
+      VLLM_ROCM_QUICK_REDUCE_QUANTIZATION: "INT4"
+      VLLM_ROCM_USE_SKINNY_GEMM: "0"
+      VLLM_ROCM_USE_AITER_FUSION_SHARED_EXPERTS: "1"
+    base_flags: "--trust-remote-code --kv-cache-dtype fp8 --mm-encoder-tp-mode data --block-size 1 --attention-backend ROCM_AITER_MLA"
+    prefill:
+      tp: "--gpu-memory-utilization 0.9"
+    decode:
+      tp: "--gpu-memory-utilization 0.9"