[Doc] Add DSA/NSA attention backend to support matrix (#20326)
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -50,7 +50,7 @@ Multimodal attention is selected by `--mm-attention-backend`. The "MultiModal" c
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```{note}
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- FlashAttention 4 supports both prefill and decode on SM90 (Hopper) and SM100 (Blackwell). FA4 MLA supports `page_size = 1`; FA4 MHA requires `page_size = 128`. On SM100, this is auto-enforced by the server; on SM90, users must set `--page-size 128` manually.
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- NSA is specifically designed for [DeepSeek V3.2 DSA](https://lmsys.org/blog/2025-09-29-deepseek-V32/).
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- NSA is specifically designed for [DeepSeek V3.2 DSA](https://lmsys.org/blog/2025-09-29-deepseek-V32/). See the [DSA Attention Backend (NSA)](#dsa-attention-backend-nsa) section and [DeepSeek V3.2 deployment guide](../basic_usage/deepseek_v32.md) for details.
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```
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```{warning}
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@@ -107,6 +107,24 @@ GDN models are hybrid: the full-attention layers still require a standard `--att
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- **Other CUDA (Hopper, Ampere, etc.)**: auto-selection works; no special constraints.
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```
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### DSA Attention Backend (NSA)
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DSA (Deepseek Sparse Attention) is a native sparse attention mechanism used by [DeepSeek V3.2](https://lmsys.org/blog/2025-09-29-deepseek-V32/). It is activated automatically when the model architecture requires it and is selected via `--attention-backend nsa`.
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Internally, the NSA backend dispatches to different sub-backends for prefill and decode phases. You can override these with `--nsa-prefill-backend` and `--nsa-decode-backend`:
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| **Sub-backend** | **Prefill** | **Decode** | **Notes** |
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|-----------------------|-------------|------------|-----------------------------------------------|
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| **flashmla_sparse** | ✅ | ✅ | Default prefill on Hopper and Blackwell (bf16) |
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| **flashmla_kv** | ✅ | ✅ | Default decode for FP8 on Blackwell with DP |
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| **flashmla_auto** | ✅ | ❌ | Auto-selects flashmla_sparse or flashmla_kv based on kv_cache_dtype |
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| **fa3** | ✅ | ✅ | Default decode on Hopper (bf16) |
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| **trtllm** | ✅ | ✅ | Default decode on Blackwell (bf16); default for both on Blackwell without DP |
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| **tilelang** | ✅ | ✅ | Default on AMD (ROCm) |
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| **aiter** | ✅ | ✅ | AMD-specific kernel library (requires aiter package) |
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For deployment examples, see the [DeepSeek V3.2 deployment guide](../basic_usage/deepseek_v32.md).
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### Hybrid attention (different backends for prefill vs decode) (Experimental)
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```{warning}
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