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update readme for vLLM 0.17.0 release on Intel GPU#971
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Signed-off-by: Yan Ma <yan.ma@intel.com>
yma11
requested review from
jitendra42,
sharvil10 and
sramakintel
as code owners
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@rogerxfeng8 please take a look. Thanks. |
rogerxfeng8
reviewed
Mar 25, 2026
| | KMD Driver | 6.14.0 | | ||
| | oneAPI | 2025.3.2.4 with hotfix | | ||
| | PyTorch | 2.10 | | ||
| | vllm-xpu-kernels | 0.14.0 | |
rogerxfeng8
reviewed
Mar 25, 2026
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| * **torch.compile**: Can be enabled for the FP16/BF16 path. | ||
| * **speculative decoding**: Supports methods `n-gram`, `EAGLE`, `EAGLE3`, `medusa` and `suffix`. For detailed usage, refer [document](https://docs.vllm.ai/en/stable/features/speculative_decoding/). | ||
| * **async scheduling**: Can be enabled by `--async-scheduling`. This may help reduce the CPU overheads, leading to better latency and throughput. |
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Async scheduling is not supported in this release.
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It's disabled by default but user can explicitly set it. It doesn't fail in all cases so I think we can call it experimental.
Signed-off-by: Yan Ma <yan.ma@intel.com>
rogerxfeng8
reviewed
Mar 26, 2026
| In addition, features such as [reasoning_outputs](https://docs.vllm.ai/en/latest/features/reasoning_outputs.html), [structured_outputs](https://docs.vllm.ai/en/latest/features/structured_outputs.html), and [tool calling](https://docs.vllm.ai/en/latest/features/tool_calling.html) are supported. The following experimental features are also available: | ||
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| * **torch.compile**: Can be enabled for the FP16/BF16 path. | ||
| * **speculative decoding**: Supports methods `n-gram`, `EAGLE`, `EAGLE3`, `medusa` and `suffix`. For detailed usage, refer [document](https://docs.vllm.ai/en/stable/features/speculative_decoding/). |
rogerxfeng8
approved these changes
Mar 26, 2026
jitendra42
approved these changes
Mar 26, 2026
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Description
release note for v0.17.0 release.
Related Issue
Changes Made
Validation
test_runner.pywith all existing tests passing, and I have added new tests where applicable.