[ReleaseNote] Add release note for v0.17.0rc1 (#7240)

### What this PR does / why we need it? This pull request adds the release notes for `v0.17.0rc1`. It also updates version numbers across various documentation files, including `README.md`, `README.zh.md`, `docs/source/community/versioning_policy.md`, and `docs/source/conf.py` to reflect the new release. - vLLM version: v0.17.0 - vLLM main: 4034c3d32e
2026-03-15 22:47:47 +08:00
parent 7e85f2ff97
commit e20f0b1a0d
8 changed files with 69 additions and 14 deletions
--- a/.github/workflows/schedule_image_build_and_push.yaml
+++ b/.github/workflows/schedule_image_build_and_push.yaml
@@ -30,6 +30,7 @@ on:
        type: choice
        options:
          - main
+          - v0.17.0rc1
          - v0.16.0rc1
          - v0.15.0rc1
          - v0.14.0rc1
--- a/.github/workflows/schedule_update_estimated_time.yaml
+++ b/.github/workflows/schedule_update_estimated_time.yaml
@@ -28,7 +28,7 @@ jobs:
    name: e2e-test
    strategy:
      matrix:
-        vllm_version: [v0.16.0]
+        vllm_version: [v0.17.0]
        type: [full, light]
    uses: ./.github/workflows/_e2e_test.yaml
    with:
--- a/README.md
+++ b/README.md
@@ -63,7 +63,7 @@ Please use the following recommended versions to get started quickly:

 | Version    | Release type | Doc                                  |
 |------------|--------------|--------------------------------------|
-| v0.16.0rc1 | Latest release candidate | See [QuickStart](https://docs.vllm.ai/projects/ascend/en/latest/quick_start.html) and [Installation](https://docs.vllm.ai/projects/ascend/en/latest/installation.html) for more details |
+| v0.17.0rc1 | Latest release candidate | See [QuickStart](https://docs.vllm.ai/projects/ascend/en/latest/quick_start.html) and [Installation](https://docs.vllm.ai/projects/ascend/en/latest/installation.html) for more details |
 | v0.13.0 | Latest stable version | See [QuickStart](https://docs.vllm.ai/projects/ascend/en/v0.13.0/quick_start.html) and [Installation](https://docs.vllm.ai/projects/ascend/en/v0.13.0/installation.html) for more details |

 ## Contributing
@@ -86,7 +86,7 @@ Below are the maintained branches:

 | Branch     | Status       | Note                                 |
 |------------|--------------|--------------------------------------|
-| main       | Maintained   | CI commitment for vLLM main branch and vLLM v0.16.0 tag   |
+| main       | Maintained   | CI commitment for vLLM main branch and vLLM v0.17.0 tag   |
 | v0.7.1-dev | Unmaintained | Only doc fixes are allowed |
 | v0.7.3-dev | Maintained   | CI commitment for vLLM 0.7.3 version, only bug fixes are allowed, and no new release tags anymore. |
 | v0.9.1-dev | Maintained   | CI commitment for vLLM 0.9.1 version |
--- a/README.zh.md
+++ b/README.zh.md
@@ -57,7 +57,7 @@ vLLM 昇腾插件 (`vllm-ascend`) 是一个由社区维护的让vLLM在Ascend NP

 | Version    | Release type | Doc                                  |
 |------------|--------------|--------------------------------------|
-|v0.16.0rc1| 最新RC版本 |请查看[快速开始](https://docs.vllm.ai/projects/ascend/en/latest/quick_start.html)和[安装指南](https://docs.vllm.ai/projects/ascend/en/latest/installation.html)了解更多|
+|v0.17.0rc1| 最新RC版本 |请查看[快速开始](https://docs.vllm.ai/projects/ascend/en/latest/quick_start.html)和[安装指南](https://docs.vllm.ai/projects/ascend/en/latest/installation.html)了解更多|
 |v0.13.0| 最新正式/稳定版本 |[快速开始](https://docs.vllm.ai/projects/ascend/en/v0.13.0/quick_start.html) and [安装指南](https://docs.vllm.ai/projects/ascend/en/v0.13.0/installation.html)了解更多|

 ## 贡献
@@ -80,7 +80,7 @@ vllm-ascend有主干分支和开发分支。

 | 分支         | 状态         | 备注                  |
 |------------|------------|---------------------|
-| main       | Maintained | 基于vLLM main分支和vLLM最新版本（v0.16.0）CI看护   |
+| main       | Maintained | 基于vLLM main分支和vLLM最新版本（v0.17.0）CI看护   |
 | v0.7.1-dev | Unmaintained | 只允许文档修复 |
 | v0.7.3-dev | Maintained | 基于vLLM v0.7.3版本CI看护, 只允许Bug修复，不会再发布新版本 |
 | v0.9.1-dev | Maintained | 基于vLLM v0.9.1版本CI看护 |
--- a/docs/source/community/versioning_policy.md
+++ b/docs/source/community/versioning_policy.md
@@ -23,7 +23,8 @@ The table below is the release compatibility matrix for vLLM Ascend release.

 | vLLM Ascend | vLLM              | Python          | Stable CANN |        PyTorch/torch_npu        | Triton Ascend |
 |-------------|-------------------|-----------------|-------------|---------------------------------|---------------|
-| v0.16.0rc1  | v0.16.0           | >= 3.10, < 3.12 | 8.5.0       | 2.9.0  / 2.9.0                  | 3.2.0         |
+| v0.17.0rc1  | v0.17.0           | >= 3.10, < 3.12 | 8.5.1       | 2.9.0  / 2.9.0                  | 3.2.0         |
+| v0.16.0rc1  | v0.16.0           | >= 3.10, < 3.12 | 8.5.1       | 2.9.0  / 2.9.0                  | 3.2.0         |
 | v0.15.0rc1  | v0.15.0           | >= 3.10, < 3.12 | 8.5.0       | 2.9.0  / 2.9.0                  | 3.2.0         |
 | v0.14.0rc1  | v0.14.1           | >= 3.10, < 3.12 | 8.5.0       | 2.9.0  / 2.9.0                  | 3.2.0         |
 | v0.13.0     | v0.13.0           | >= 3.10, < 3.12 | 8.5.0       | 2.9.0  / 2.8.0.post2            | 3.2.0         |
@@ -58,7 +59,7 @@ For main branch of vLLM Ascend, we usually make it compatible with the latest vL

 | vLLM Ascend | vLLM         | Python           | Stable CANN | PyTorch/torch_npu  |
 |-------------|--------------|------------------|-------------|--------------------|
-|     main    | 4034c3d32e30d01639459edd3ab486f56993876d, v0.16.0 tag | >= 3.10, < 3.12   | 8.5.0 | 2.9.0 / 2.9.0 |
+|     main    | 4034c3d32e30d01639459edd3ab486f56993876d, v0.17.0 tag | >= 3.10, < 3.12   | 8.5.0 | 2.9.0 / 2.9.0 |

 ## Release cadence

@@ -66,6 +67,7 @@ For main branch of vLLM Ascend, we usually make it compatible with the latest vL

 | Date       | Event                                     |
 |------------|-------------------------------------------|
+| 2026.03.15 | Release candidates, v0.17.0rc1            |
 | 2026.03.10 | Release candidates, v0.16.0rc1            |
 | 2026.02.27 | Release candidates, v0.15.0rc1            |
 | 2026.02.06 | v0.13.0 Final release, v0.13.0            |
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -65,15 +65,15 @@ myst_substitutions = {
    # the branch of vllm, used in vllm clone
    # - main branch: 'main'
    # - vX.Y.Z branch: 'vX.Y.Z'
-    "vllm_version": "v0.16.0",
+    "vllm_version": "v0.17.0",
    # the branch of vllm-ascend, used in vllm-ascend clone and image tag
    # - main branch: 'main'
    # - vX.Y.Z branch: latest vllm-ascend release tag
-    "vllm_ascend_version": "v0.16.0rc1",
+    "vllm_ascend_version": "v0.17.0rc1",
    # the newest release version of vllm-ascend and matched vLLM, used in pip install.
    # This value should be updated when cut down release.
-    "pip_vllm_ascend_version": "0.16.0rc1",
-    "pip_vllm_version": "0.16.0",
+    "pip_vllm_ascend_version": "0.17.0rc1",
+    "pip_vllm_version": "0.17.0",
    # CANN image tag
    "cann_image_tag": "8.5.1-910b-ubuntu22.04-py3.11",
    # vllm version in ci
--- a/docs/source/faqs.md
+++ b/docs/source/faqs.md
@@ -2,8 +2,7 @@

 ## Version Specific FAQs

- [[v0.16.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/6969)
- [[v0.15.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/6838)
+- [[v0.17.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/7173)
 - [[v0.13.0] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/6583)

 ## General FAQs
--- a/docs/source/user_guide/release_notes.md
+++ b/docs/source/user_guide/release_notes.md
@@ -1,5 +1,58 @@
 # Release Notes

+## v0.17.0rc1 - 2026.03.15
+
+This is the first release candidate of v0.17.0 for vLLM Ascend. Please follow the [official doc](https://docs.vllm.ai/projects/ascend/en/latest) to get started.
+
+### Highlights
+
+- Ascend950 chip is now supported. [#7151](https://github.com/vllm-project/vllm-ascend/pull/7151)
+- ACLGraph (graph mode) is now supported for Model Runner V2. [#7110](https://github.com/vllm-project/vllm-ascend/pull/7110)
+- Unified parallelized speculative decoding is supported, enabling parallel draft inference schemes simultaneously. [#6766](https://github.com/vllm-project/vllm-ascend/pull/6766)
+
+### Features
+
+- Auto-detect quantization format from model files, and remote model IDs (e.g., `org/model-name`) are also supported. `--quantization ascend` is not required now. [#7111](https://github.com/vllm-project/vllm-ascend/pull/7111)
+- Qwen3.5 is supported from this version on.
+- FlashLB algorithm for EPLB: supports per-step heat collection and multi-stage load balancing for better expert parallelism efficiency. [#6477](https://github.com/vllm-project/vllm-ascend/pull/6477)
+- LoRA with tensor parallel and `--fully-sharded-loras` is now fixed and working. [#6650](https://github.com/vllm-project/vllm-ascend/pull/6650)
+- LMCacheAscendConnector is added as a new KV cache pooling solution for Ascend. [#6882](https://github.com/vllm-project/vllm-ascend/pull/6882)
+- W8A8C8 quantization is now supported for DeepSeek-V3.2 and GLM5 in PD-mix scenario. [#7029](https://github.com/vllm-project/vllm-ascend/pull/7029)
+- [Experimental] Minimax-m2.5 model is now supported on Ascend NPU. [#7105](https://github.com/vllm-project/vllm-ascend/pull/7105)
+- [Experimental] Mooncake Layerwise Connector now supports hybrid attention manager with multiple KV cache groups. [#7022](https://github.com/vllm-project/vllm-ascend/pull/7022)
+- [Experimental] Prefix cache is now supported in hybrid model. [#7103](https://github.com/vllm-project/vllm-ascend/pull/7103)
+
+### Performance
+
+- Pipeline Parallel now supports async scheduling, improving throughput for PP deployments. [#7136](https://github.com/vllm-project/vllm-ascend/pull/7136)
+- Improved TTFT when using Mooncake connector by reducing log overhead. [#6125](https://github.com/vllm-project/vllm-ascend/pull/6125)
+- KV Pool lookup is optimized for short sequences (token length < block_size). [#7146](https://github.com/vllm-project/vllm-ascend/pull/7146)
+- Fix penalty ops in Model Runner V2, achieving ~10% performance improvement. [#7013](https://github.com/vllm-project/vllm-ascend/pull/7013)
+
+### Documentation
+
+- Added EPD (Encode-Prefill-Decode) documentation and load-balance proxy example. [#6221](https://github.com/vllm-project/vllm-ascend/pull/6221)
+- Added Ascend PyTorch Profiler usage guide. [#7117](https://github.com/vllm-project/vllm-ascend/pull/7117)
+- Fixed DSV3.1 PD configuration documentation. [#7187](https://github.com/vllm-project/vllm-ascend/pull/7187)
+
+### Others
+
+- Fix drafter crash in full graph mode for speculative decoding. [#7158](https://github.com/vllm-project/vllm-ascend/pull/7158) [#7148](https://github.com/vllm-project/vllm-ascend/pull/7148)
+- Fix GLM5-W8A8 precision issues caused by rotary quant MTP weights. [#7139](https://github.com/vllm-project/vllm-ascend/pull/7139)
+- Fix ngram graph replay accuracy error on 310P. [#7134](https://github.com/vllm-project/vllm-ascend/pull/7134)
+- Fix FIA pad logic in graph mode after upstream vLLM change. [#7144](https://github.com/vllm-project/vllm-ascend/pull/7144)
+- Fix a precision issue caused by wrong KV cache reshape on Qwen3.5. [#7209](https://github.com/vllm-project/vllm-ascend/pull/7209)
+- Fix extra processes spawned on rank0 device. [#7107](https://github.com/vllm-project/vllm-ascend/pull/7107)
+- Graph capture failures now properly raise exceptions for easier debugging. [#5644](https://github.com/vllm-project/vllm-ascend/pull/5644)
+- Fix Qwen3.5 model by replacing torch_npu.npu_recurrent_gated_delta_rule by fused_recurrent_gated_delta_rule. [#7109](https://github.com/vllm-project/vllm-ascend/pull/7109)
+- Fix the bug when running Qwen3-Reranker-0.6B with LoRA. [#7156](https://github.com/vllm-project/vllm-ascend/pull/7156)
+
+### Known Issue
+
+- GLM5 requires transformers==5.2.0, and this will resolved by [vllm-project/vllm#30566](https://github.com/vllm-project/vllm/pull/30566), will not included in v0.17.0.
+- There is a precision issue with Qwen3-Next due to the changed tp weight split method. Will fix it in next release.
+- The minimum number of tokens of prefix cache hit in hybrid model is 2k now
+
 ## v0.16.0rc1 - 2026.03.09

 This is the first release candidate of v0.16.0 for vLLM Ascend. Please follow the [official doc](https://docs.vllm.ai/projects/ascend/en/latest) to get started.
@@ -42,7 +95,7 @@ This is the first release candidate of v0.16.0 for vLLM Ascend. Please follow th
 ### Deprecation & Breaking Changes

 - `enable_flash_comm_v1` config option has been renamed back to `enable_sp`. [#6883](https://github.com/vllm-project/vllm-ascend/pull/6883)
- The auto-detect quantization format from model files is reverted, in v0.16.0rc1, we still need to add `---quantization ascend` to serve a model quantinized by modelslim. It will be added back in the next version after the bug with the remote model id is fixed. [#6873](https://github.com/vllm-project/vllm-ascend/pull/6873)
+- The auto-detect quantization format from model files is reverted, in v0.16.0rc1, we still need to add `--quantization ascend` to serve a model quantinized by modelslim. It will be added back in the next version after the bug with the remote model id is fixed. [#6873](https://github.com/vllm-project/vllm-ascend/pull/6873)

 ### Documentation