TensorRT Edge-LLM 0.10.0 Release 2026-08-12
We are excited to announce the release 0.10.0 of TensorRT Edge-LLM!
TensorRT Edge-LLM 0.10.0 provides Day-0 support for NVIDIA Nemotron-3.5 Lightning with MTP and DFlash. It also adds support for Cosmos3-Edge, DiffusionGemma, Nemotron-3.5-ASR, and DSpark speculative decoding. This release also introduces an experimental direct TensorRT engine builder without ONNX export, multi-turn KV-cache reuse, and video input for the experimental OpenAI-compatible server.
Key Features
- Added NVIDIA Nemotron-3.5 Lightning support with MTP and DFlash speculative decoding.
- Added an experimental ONNX-less workflow to build TensorRT engines directly from supported checkpoints.
- Added Cosmos3-Edge multimodal reasoning and experimental policy/action-generation support.
- Added DiffusionGemma NVFP4 block-diffusion inference.
- Added experimental Nemotron-3.5-ASR inference support.
- Added DSpark speculative decoding with DDTree drafting.
- Added paged KV-cache reuse for multi-turn LLM requests and media-aware KV reuse for VLM requests.
- Added video input support to the experimental server.
- Expanded Qwen3-TTS with language and instruction conditioning, VoiceDesign, and on-device voice cloning. Thanks to @suharvest for the CustomVoice language-conditioning contribution in GitHub PR #98.
Other Important Features
Runtime and Performance
- Replaced the legacy embedded-cubin FMHA-v2 backend with CuTe DSL FMHA-v2 and removed the checked-in FMHA-v2 cubin artifacts.
- Replaced FFPA with dense FMHA-v2 kernels for head dimension 512.
- Added Blackwell paged FMHA-v2 kernels for head dimension 512.
- Added NVFP4-A16 Marlin MoE and migrated the INT4 AWQ plugin to the CuTe DSL kernel path.
- Added Qwen3-Omni full-loop CUDA Graph execution.
- Added GPU bicubic resizing for ViT image preprocessing.
- Fixed DFlash verification, MTP/GDN accepted-state replay, and Qwen3-Omni video temporal MRoPE correctness.
Export and Quantization
- Added paired-checkpoint MTP support for Gemma 4 12B.
- Added Gemma 4 26B-A4B INT4 AWQ MoE and Qwen3-Omni 30B-A3B INT4 AWQ quantization and export support.
Server and API
- Added Qwen3-Omni streaming audio output,
/v1/audio/speechfor Qwen3-TTS, and/v1/audio/transcriptionsfor Qwen3-ASR. - Added Claude Code and OpenClaw integration to the experimental server.
Examples and Documentation
- Added NeMo Evaluator integration.
- Added an official platform and software support matrix.
NVIDIA Contributors
@nvluxiaoz @nvamberl @xiangg-nv @willg-nv @mahu888 @nv-samcheng @duofant @Caohanwen0 @JCalafato @duanyaqi @zhazhang-nv @zhaoyuanh-nvidia @zhijial-nvidia @ever-wong @Jasper-NV @jhalabi-nv @levichen-nvidia @sunghyunp-nvidia @nvyocox @ruocheng-nv @yuanyao-nv @qikail-ctrl