# Attention Backend ## Supporting matrix for different attention backends | **Backend** | **Page Size > 1** | **Spec Decoding** | **MLA** | **Sliding Window** | **MultiModal** | |--------------------------|-------------------|-------------------|---------|--------------------|----------------| | **FlashInfer** | ❌ | ✅ | ✅ | ✅ | ✅ | | **FA3** | ✅ | ✅ | ✅ | ✅ | ✅ | | **Triton** | ❌ | ✅ | ✅ | ✅ | ❌ | | **Torch Native** | ❌ | ❌ | ❌ | ❌ | ❌ | | **FlashMLA** | ✅ | ✅ | ✅ | ❌ | ❌ | Note: Every kernel backend is compatible with a page size > 1 by specifying an argument such as `--page-size 16`. This is because a page size of 16 can be converted to a page size of 1 in the kernel backend. The "❌" and "✅" symbols in the table above under "Page Size > 1" indicate whether the kernel actually operates with a page size greater than 1, rather than treating a page size of 16 as a page size of 1. ## User guide #### Launch command for different attention backends. - FlashInfer (Default for Non-Hopper Machines, e.g., A100, A40) ```bash python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend flashinfer python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-V3 --attention-backend flashinfer --trust-remote-code ``` - FlashAttention 3 (Default for Hopper Machines, e.g., H100, H200, H20) ```bash python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend fa3 python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-V3 --trust-remote-code --attention-backend fa3 ``` - Triton ```bash python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend triton python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-V3 --attention-backend triton --trust-remote-code ``` - Torch Native ```bash python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3.1-8B-Instruct --attention-backend torch_native ``` - FlashMLA ```bash python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-R1 --attention-backend flashmla --trust-remote-code python3 -m sglang.launch_server --tp 8 --model deepseek-ai/DeepSeek-R1 --attention-backend flashmla --kv-cache-dtype fp8_e4m3 --trust-remote-code ```