chore(deps-dev): bump vllm from 0.22.1 to 0.27.1

[dependabot]

Bumps vllm from 0.22.1 to 0.27.1.

Release notes

Sourced from vllm's releases.

v0.27.1

This is a patch release on top of v0.27.0.

• Support quantized DSpark Markov heads (#50424)

v0.27.0

vLLM v0.27.0 Release Notes

Highlights

This release features 561 commits from 242 contributors (64 new)!

• Kimi K3 support with a full stack landing in one release: core model files and kernels (#50089, #50000), Python (#50093) and Rust (#50104) frontends, AttnRes kernels (#50090), DeepGEMM support (#50458), compressed-tensors quantized checkpoints (#50500), DSpark AR fusion (#50242), and an option to shard the shared expert instead of replicating it (#50656).
• More new models: Qwen3.5 text-only dense and MoE models (#50210) with EVS video token pruning (#48912), K-EXAONE-2.0-750B-A37B (#50524), VaultGemma via the Transformers modeling backend (#49803), and jina-embeddings-v5-text-nano (#50688).
• PyTorch 2.13.0 upgrade along with torchvision 0.28.0 and Triton 3.7.1 (#48155) — this is a breaking environment change; XPU (#48677) and CPU (#50412) followed to torch 2.13 as well.
• FlashAttention 4 integration deepens on SM100: FP8 KV cache support (#42569) and headdim-256 support (#42669), backed by a new JIT warmup infrastructure (#47451) and runner-owned Triton kernel warmup (#49903) that remove first-request compilation stalls.
• DeepSeek-V4 performance push: sequence parallelism (#46789), ~2x kernel improvement by skipping empty c128 launches (#48957), 3.4% E2E TTFT from skipping unneeded topk/router (#49486), 3.9% E2E TTFT from workspace reuse (#49236), 1.88x kernel from removing a redundant full kernel (#50298), adaptive topk width (1.0% E2E, #50004), 448 MiB GPU memory saved in the PP buffer (#50312), a compact MXFP4 indexer KV cache (#48993), and removal of sparse-MLA q-head padding on FlashInfer >= 0.6.14 (#48047).
• Model Runner V2 expands to non-generative workloads: encoder-only attention (#49331), sequence pooling for embedding/classification (#48791), encoder token classification (#50293) and token embedding (#50574), BGE-M3 pooling (#50661), multimodal on CPU (#50073), a multi-layer MTP speculator (#48892), and PCP now selects MRV2 (#50034).
• Resilient large-scale serving: a (simplified) fault tolerance framework for DP+EP external load-balancer deployments (#44428) and async preparation for elastic EP scaling (#47288).
• Disaggregation for hybrid models: NIXL P/D for hybrid MLA+SSM models (#49762), heterogeneous P/D block sizes for hybrid models (#49612), and MoRIIO heterogeneous TP<->DP prefill/decode read routing (#46116).
• Rust frontend grows a gRPC control plane: engine-aware health reporting (#48992), abort control (#49255), server and model discovery (#49491), KV event source discovery (#50033), plus vllm-bench integrated into the vllm CLI (#48930).
• Early next-gen hardware enablement: sm_107 target for NVIDIA Rubin (#49387) with NVLink all-reduce paths on SM107 (#49647), and ROCm gfx1250 architecture enabled (#46516).

Model Support

• Kimi K3: new model (#50000) with model files and kernels (#50089), Python frontend (#50093), Rust frontend (#50104), AttnRes kernels (#50090), DeepGEMM support (#50458), DSpark AR fusion (#50242), and optional shared-expert sharding (#50656).
• New models: Qwen3.5 text-only dense and MoE (#50210), K-EXAONE-2.0-750B-A37B (#50524), VaultGemma via Transformers backend (#49803), jina-embeddings-v5-text-nano with EuroBERT encoder backbone (#50688).
• Inkling: llm-compressor NVFP4 weights (#49258) and compressed-tensors dynamic FP8 (#48876).
• Multimodal: VidCom2 video token pruning (#47750), EVS for Qwen3.5 (#48912), ViT CUDA graph for Gemma-4 (#46837), Cosmos3 FP8 ModelOpt/Diffusers remapping (#48952), MiniMax-M3 MSA speculative decode verification (#50032) and default video processor (#50305), DeepSeek-OCR-2 TTFT optimization (#49531), longer max audio duration for MOSS-TD (#49403).
• Diffusion models: top_k and top_p sampling for DiffusionGemma (#45429).
• Transformers modeling backend: audio model support (#39330), improved fx tracer (#49957), fused residual-add + RMSNorm compilation pass (#48757), and fixes for MLA padding + grouped topk routing (#49982), MQA with TP (#49987), and Qwen3-VL M-RoPE (#49292).

Engine Core

• Warmup: new JIT warmup infrastructure (#47451), runner-owned Triton kernels warmed before the first request (#49903), and proper renderer warmup (#50408).
• Attention: FlashAttention 4 SM100 FP8 KV cache (#42569) and headdim-256 (#42669); query replication for MLA decode under DCP for DeepSeek-V2/R1 and Kimi-K2.5 (#45964); masked MHA for sparse MLA prefills (#48770); skip sparse indexer scoring for short dense prefills (#48407); FlexAttention epilogue hook (#45841) and encoder block-mask compile explosion avoided (#50339); attention backends stay eligible for text-only serving of prefix-LM models (#48796); merge-attention context count as a runtime argument (#48739); unified multi-path encoder CUDA graph support (#49934); encoder cache extension hooks (#48218).
• Model Runner V2: encoder-only attention (#49331), sequence pooling for embedding and classification (#48791), encoder token classification (#50293), encoder token embedding (#50574), BGE-M3 pooling (#50661), multimodal on CPU (#50073), multi-layer MTP speculator (#48892), PCP selects MRV2 (#50034), attention metadata always built at capture time (#49364), encoder cache profiling (#47985), skipped no-op FP32 logits materialization (#47711), chunked rejection sampler to avoid OOM (#48630), fewer GPU<->CPU syncs in hybrid Mamba (#49736).
• KV offloading: generic P2P secondary tier with peer lookup/serving (#48021), per-request tier filtering with TierFilter/TierMatcher (#48123), self-describing KV events with TieringOffloadingSpec (#48679), pluggable eviction policies via CachePolicyFactory (#49114), deduplicated replicated MLA KV in the shared CPU region (#48906), single-copy MLA layout for CPUOffloadingSpec (#50301), CPUOffloadingSpec moved onto SharedOffloadRegion (#50094), TP-independent compact secondary identity (#49858), batched C store/load for filesystem offload (#49152), reliable partial-tail offload for sub-block prompts (#49502), per-layer canonical KV page mappings for parallelism-agnostic offload (#48408).
• Mamba/hybrid: ReplaySSM caching for faster Mamba2 standard decode (#48018), fused align-mode DS-conv state migration with num_accepted_tokens > 1 (#49291), FlashInfer Mamba SSU algorithm selection (#50157), fixed /wake_up crash on hybrid models (#41602).
• Spec decode: DSpark Markov head replicated across TP ranks (#49731), sample_from_anchor loaded from speculators config (#48639), earliest-completing stop string selected (#49391).
• Structured outputs: grammar advanced across the reasoning boundary with spec decode (#44993).
• Preprocessing performance: derender CPU work offloaded to the renderer thread pool (#49396), raw-prompt preprocessing off the event loop in AsyncLLM (#49608), multimodal preprocessing isolated on its own executor (#49524), MM embeds loading deferred off the event loop (#49477), parallel preprocessing within a request for online pooling (#49153), videos hashed by source bytes (#49607), original image mode preserved in ImageIO (#49159).
• RL: weight version tagging for RL rollouts (#49040), stateful trainer-send IPC (#48981), vLLM config set during weight reload (#45989), router replay output from the FlashInfer monolithic MoE kernel (#44214).
• Memory & robustness: CuMem slept-L1 fragmentation accounting (#49208), cgroup memory limits respected on all platforms (#49966), fail fast when /dev/shm is too small (#48879), zero-copy tensor pickling in shm_broadcast (#48442), LRU hash-split skipped in free_blocks when prefix caching is off (#48017), location-derived path vars excluded from torch.compile cache factors (#47573), CustomOp.forward_native compiled for ReLU^2 (#50244), HF config used for HF tokenizers (#49907), batch-invariant RMSNorm via pinned block size (#48391).

Hardware & Performance

• DeepSeek-V4: sequence parallelism (#46789), ~2x kernel skipping empty c128 launches (#48957), 3.4% E2E TTFT skipping topk/router in decode (#49486), 3.9% E2E TTFT workspace reuse (#49236), 1.88x kernel removing a redundant full kernel (#50298), adaptive topk width 1.0% E2E (#50004), 448 MiB GPU memory saved (#50312), compact MXFP4 indexer KV cache (#48993), sparse-MLA q-head padding removed for FlashInfer >= 0.6.14 (#48047).
• Kernels: RMSNorm uncontiguous support with 1.2–3.1x kernel improvement (#49750), MoE reduce_scatter regression fix restoring 5% E2E throughput (#48763), non-grouped bias-less topk routing dispatched to the fused path (#49618), tuned LL BF16 router GEMM (#48774) with warmup skipped for non-MoE models (#49659), Triton tensor-descriptor path for fused MoE via VLLM_TRITON_USE_TD (#42436), cudagraph/DP padding skipped in topk (#48979), coalesced HBM access in the Marlin INT4-FP8 AWQ preprocess kernel (#47268).
• NVIDIA next-gen: sm_107 for Rubin (#49387), NVLink all-reduce paths on SM107 (#49647), fixed CUDA arch detection producing kernel-less builds on SM121 (#49904).
• ROCm: gfx1250 architecture enabled (#46516), AITER FP8 ViT encoder attention (#49937), fused shared expert for Quark DeepSeek-V4 checkpoints (#48044), Quark GLM-5.2 checkpoint inference fixes (#48886), DSv3.2 per-decode FillFunctor launches eliminated in the sparse-MLA hot loop (#44527), B-preshuffled attention FP8 projections for DSv4 (#46720), TML Inkling enabled (#48841), tuned selective_state_update float16 config for MI325X (#50006), GPT-J-style MRoPE fixed and optimized (#49906), quickreduce accuracy fix in cudagraph mode (#46913), cached fp32 upcast of static e8m0 weight scales (#47773), batch DMA for CPU KV cache loads (#49843), elastic EP scaling accuracy fix (#47206).
• XPU: QK Norm + RoPE fusion pass (#49394), FP8 o_proj with fp8_bmm and load-time scale transpose (#48334), DeepSeek-V4 fuse_index_q SYCL kernel path (#45991), TD operand loads for batched MoE GEMM (#46340), RMSNorm kernels unified with vllm_c (#46981).
• CPU: INT8 fused MoE kernel for Arm CPUs (#48637), s390x inference optimization with oneDNN INT8 GEMM (#50219), GDN conv path optimized for speculative decoding (#48577), granite-4 enabled (#47641), FAST_EXP for Power (#49571), CPU kernels bumped to the latest version (#50387), macOS build fixes (#49021, #50915).

... (truncated)

Commits

• 6e448d0 [CI] Limit Arctic import check to x86 test images
• 26363ce [CI] Isolate Ubuntu 22.04 test dependency cache
• 9fc29ec [CI] Parallelize release image publishing (#51735)
• 7ce42a9 Support quantized DSpark Markov heads (#50424)
• 4bdc8a7 [Docs] Fix two docs build warnings (#51014)
• e50f7d3 [Kimi][MM] disable kimi_vit's dynamic torch.compile for TPU (#51196)
• 525832b [Model] Add K-EXAONE-2.0-750B-A37B (#50524)
• 4dbf890 [K3] Allow tpu to import kimi_k3.common (#51529)
• a60fb53 [CI] Fix Batch Invariance (B200) (#51417)
• d0d9691 Fix ROCm architecture import on non-ROCm platforms (#51357)
• Additional commits viewable in compare view

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