Bump vllm from 0.11.2 to 0.15.0

[dependabot]

Bumps vllm from 0.11.2 to 0.15.0.

Release notes

Sourced from vllm's releases.

v0.15.0

Highlights

This release features 335 commits from 158 contributors (39 new)!

Model Support

• New architectures: Kimi-K2.5 (#33131), Molmo2 (#30997), Step3vl 10B (#32329), Step1 (#32511), GLM-Lite (#31386), Eagle2.5-8B VLM (#32456).
• LoRA expansion: Nemotron-H (#30802), InternVL2 (#32397), MiniMax M2 (#32763).
• Speculative decoding: EAGLE3 for Pixtral/LlavaForConditionalGeneration (#32542), Qwen3 VL MoE (#32048), draft model support (#24322).
• Embeddings: BGE-M3 sparse embeddings and ColBERT embeddings (#14526).
• Model enhancements: Voxtral streaming architecture (#32861), SharedFusedMoE for Qwen3MoE (#32082), dynamic resolution for Nemotron Nano VL (#32121), Molmo2 vision backbone quantization (#32385).

Engine Core

• Async scheduling + Pipeline Parallelism: --async-scheduling now works with pipeline parallelism (#32359).
• Mamba prefix caching: Block-aligned prefix caching for Mamba/hybrid models with --enable-prefix-caching --mamba-cache-mode align. Achieves ~2x speedup by caching Mamba states directly (#30877).
• Session-based streaming input: New incremental input support for interactive workloads like ASR. Accepts async generators producing StreamingInput objects while maintaining KV cache alignment (#28973).
• Model Runner V2: VLM support (#32546), architecture improvements.
• LoRA: Inplace loading for memory efficiency (#31326).
• AOT compilation: torch.compile inductor artifacts support (#25205).
• Performance: KV cache offloading redundant load prevention (#29087), FlashAttn attention/cache update separation (#25954).

Hardware & Performance

NVIDIA

• Blackwell defaults: FlashInfer MLA is now the default MLA backend on Blackwell, with TRTLLM as default prefill (#32615).
• MoE performance: 1.2-2% E2E throughput improvement via grouped topk kernel fusion (#32058), NVFP4 small-batch decoding improvement (#30885), faster cold start for MoEs with torch.compile (#32805).
• FP4 kernel optimization: Up to 65% faster FP4 quantization on Blackwell (SM100F) using 256-bit loads, ~4% E2E throughput improvement (#32520).
• Kernel improvements: topk_sigmoid kernel for MoE routing (#31246), atomics reduce counting for SplitK skinny GEMMs (#29843), fused cat+quant for FP8 KV cache in MLA (#32950).
• torch.compile: SiluAndMul and QuantFP8 CustomOp compilation (#32806), Triton prefill attention performance (#32403).

AMD ROCm

• MoRI EP: High-performance all2all backend for Expert Parallel (#28664).
• Attention improvements: Shuffle KV cache layout and assembly paged attention kernel for AiterFlashAttentionBackend (#29887).
• FP4 support: MLA projection GEMMs with dynamic quantization (#32238).
• Consumer GPU support: Flash Attention Triton backend on RDNA3/RDNA4 (#32944).

Other Platforms

• TPU: Pipeline parallelism support (#28506), backend option (#32438).
• Intel XPU: AgRsAll2AllManager for distributed communication (#32654).
• CPU: NUMA-aware acceleration for TP/DP inference on ARM (#32792), PyTorch 2.10 (#32869).
• Whisper: torch.compile support (#30385).
• WSL: Platform compatibility fix for Windows Subsystem for Linux (#32749).

Quantization

• MXFP4: W4A16 support for compressed-tensors MoE models (#32285).
• Non-gated MoE: Quantization support with Marlin, NVFP4 CUTLASS, FP8, INT8, and compressed-tensors (#32257).
• Intel: Quantization Toolkit integration (#31716).
• FP8 KV cache: Per-tensor and per-attention-head quantization via llmcompressor (#30141).

API & Frontend

... (truncated)

Commits

• f176443 [Release] [CI] Optim release pipeline (#33156)
• fe18ce4 Revert "Enable Cross layers KV cache layout at NIXL Connector (#30207)" (#33241)
• 5f7f9ea Relax protobuf library version constraints (#33202)
• 7779de3 [BugFix] Fix P/D with non-MoE DP (#33037)
• 0d8ce32 [Bugfix] Fix DeepseekV32 AssertionError: num_kv_heads == 1 (#33090)
• d51e1f8 [Bugfix] Disable CG for Whisper+FA2 (#33164)
• 5042815 [Models] Kimi-K2.5 (#33131)
• afb390a [CI] Fix AssertionError: MCP tool call not found in output_messages (#33093)
• cf1167e [Bugfix] Fix Dtypes for Pynccl Wrapper (#33030)
• 11b5568 [Refactor] Use data parser for matching data items to multi-modal UUIDs (#32955)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #435.