TensorRT-LLMs/docs/source/features/feature-combination-matrix.md
Patrice Castonguay e8cceb06b2
[None][doc] Adding parallelism types in feature combination matrix (#9849)
Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>
2026-01-07 12:52:05 -05:00

8.6 KiB

Feature Combination Matrix

Feature Overlap Scheduler CUDA Graph Tensor Parallelism Pipeline Parallelism Expert Parallelism Helix Parallelism Attention Data Parallelism Disaggregated Serving Chunked Prefill MTP EAGLE-3(One Model Engine) EAGLE-3(Two Model Engine) Torch Sampler TLLM C++ Sampler KV Cache Reuse Slide Window Attention Logits Post Processor Guided Decoding LoRA
Overlap Scheduler ---
CUDA Graph Yes ---
Tensor Parallelism Yes Yes ---
Pipeline Parallelism Yes Yes Yes ---
Expert Parallelism Yes Yes Yes Yes ---
Helix Parallelism Untested Yes Yes Yes Yes ---
Attention Data Parallelism Yes Yes Yes Yes Yes Known issues ---
Disaggregated Serving Yes Yes Yes Yes Yes Yes Yes ---
Chunked Prefill Yes Yes Yes Untested Yes Yes Yes Yes ---
MTP Yes Yes Yes No Yes No Yes Yes Yes ---
EAGLE-3(One Model Engine) Yes Yes Yes No Yes No Yes Yes Yes No ---
EAGLE-3(Two Model Engine) Yes Yes Yes No Yes No Yes Yes Yes No No ---
Torch Sampler Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes ---
TLLM C++ Sampler Yes Yes Yes Yes Yes Yes Yes Yes Yes No No No No ---
KV Cache Reuse Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes ---
Slide Window Attention Yes Yes Yes Yes Yes Untested Yes Yes Yes Yes Yes Yes Yes Yes Yes ---
Logits Post Processor Yes Yes Yes Yes Yes Yes Yes No Yes No No No Yes Yes Yes Yes ---
Guided Decoding Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes ---
LoRA Yes No Yes Yes Untested Untested Untested Untested Yes Untested Untested Untested Yes Yes Yes Yes Yes Untested ---