TensorRT LLM

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

Architecture   |   Performance   |   Examples   |   Documentation   |   Roadmap

Tech Blogs

• [10/13] Scaling Expert Parallelism in TensorRT LLM (Part 3: Pushing the Performance Boundary) ✨ ➡️ link

• [09/26] Inference Time Compute Implementation in TensorRT LLM ✨ ➡️ link

• [09/19] Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly ✨ ➡️ link

• [08/29] ADP Balance Strategy ✨ ➡️ link

• [08/05] Running a High-Performance GPT-OSS-120B Inference Server with TensorRT LLM ✨ ➡️ link

• [08/01] Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization) ✨ ➡️ link

• [07/26] N-Gram Speculative Decoding in TensorRT LLM ✨ ➡️ link

• [06/19] Disaggregated Serving in TensorRT LLM ✨ ➡️ link

• [06/05] Scaling Expert Parallelism in TensorRT LLM (Part 1: Design and Implementation of Large-scale EP) ✨ ➡️ link

• [05/30] Optimizing DeepSeek R1 Throughput on NVIDIA Blackwell GPUs: A Deep Dive for Developers ✨ ➡️ link

• [05/23] DeepSeek R1 MTP Implementation and Optimization ✨ ➡️ link

• [05/16] Pushing Latency Boundaries: Optimizing DeepSeek-R1 Performance on NVIDIA B200 GPUs ✨ ➡️ link

Latest News

• [08/05] 🌟 TensorRT LLM delivers Day-0 support for OpenAI's latest open-weights models: GPT-OSS-120B ➡️ link and GPT-OSS-20B ➡️ link
• [07/15] 🌟 TensorRT LLM delivers Day-0 support for LG AI Research's latest model, EXAONE 4.0 ➡️ link
• [06/17] Join NVIDIA and DeepInfra for a developer meetup on June 26 ✨ ➡️ link
• [05/22] Blackwell Breaks the 1,000 TPS/User Barrier With Meta’s Llama 4 Maverick ✨ ➡️ link

• [04/10] TensorRT LLM DeepSeek R1 performance benchmarking best practices now published. ✨ ➡️ link

• [04/05] TensorRT LLM can run Llama 4 at over 40,000 tokens per second on B200 GPUs!

• [03/22] TensorRT LLM is now fully open-source, with developments moved to GitHub!
• [03/18] 🚀🚀 NVIDIA Blackwell Delivers World-Record DeepSeek-R1 Inference Performance with TensorRT LLM ➡️ Link

• [02/28] 🌟 NAVER Place Optimizes SLM-Based Vertical Services with TensorRT LLM ➡️ Link

• [02/25] 🌟 DeepSeek-R1 performance now optimized for Blackwell ➡️ Link

• [02/20] Explore the complete guide to achieve great accuracy, high throughput, and low latency at the lowest cost for your business here.

• [02/18] Unlock #LLM inference with auto-scaling on @AWS EKS ✨ ➡️ link

• [02/12] 🦸⚡ Automating GPU Kernel Generation with DeepSeek-R1 and Inference Time Scaling ➡️ link

• [02/12] 🌟 How Scaling Laws Drive Smarter, More Powerful AI ➡️ link

Previous News

• [2025/01/25] Nvidia moves AI focus to inference cost, efficiency ➡️ link

• [2025/01/24] 🏎️ Optimize AI Inference Performance with NVIDIA Full-Stack Solutions ➡️ link

• [2025/01/23] 🚀 Fast, Low-Cost Inference Offers Key to Profitable AI ➡️ link

• [2025/01/16] Introducing New KV Cache Reuse Optimizations in TensorRT LLM ➡️ link

• [2025/01/14] 📣 Bing's Transition to LLM/SLM Models: Optimizing Search with TensorRT LLM ➡️ link

• [2025/01/04] ⚡Boost Llama 3.3 70B Inference Throughput 3x with TensorRT LLM Speculative Decoding ➡️ link

• [2024/12/10] ⚡ Llama 3.3 70B from AI at Meta is accelerated by TensorRT-LLM. 🌟 State-of-the-art model on par with Llama 3.1 405B for reasoning, math, instruction following and tool use. Explore the preview ➡️ link

• [2024/12/03] 🌟 Boost your AI inference throughput by up to 3.6x. We now support speculative decoding and tripling token throughput with our NVIDIA TensorRT-LLM. Perfect for your generative AI apps. ⚡Learn how in this technical deep dive ➡️ link

• [2024/12/02] Working on deploying ONNX models for performance-critical applications? Try our NVIDIA Nsight Deep Learning Designer ⚡ A user-friendly GUI and tight integration with NVIDIA TensorRT that offers: ✅ Intuitive visualization of ONNX model graphs ✅ Quick tweaking of model architecture and parameters ✅ Detailed performance profiling with either ORT or TensorRT ✅ Easy building of TensorRT engines ➡️ link

• [2024/11/26] 📣 Introducing TensorRT LLM for Jetson AGX Orin, making it even easier to deploy on Jetson AGX Orin with initial support in JetPack 6.1 via the v0.12.0-jetson branch of the TensorRT LLM repo. ✅ Pre-compiled TensorRT LLM wheels & containers for easy integration ✅ Comprehensive guides & docs to get you started ➡️ link

• [2024/11/21] NVIDIA TensorRT LLM Multiblock Attention Boosts Throughput by More Than 3x for Long Sequence Lengths on NVIDIA HGX H200 ➡️ link

• [2024/11/19] Llama 3.2 Full-Stack Optimizations Unlock High Performance on NVIDIA GPUs ➡️ link

• [2024/11/09] 🚀🚀🚀 3x Faster AllReduce with NVSwitch and TensorRT LLM MultiShot ➡️ link

• [2024/11/09] ✨ NVIDIA advances the AI ecosystem with the AI model of LG AI Research 🙌 ➡️ link

• [2024/11/02] 🌟🌟🌟 NVIDIA and LlamaIndex Developer Contest 🙌 Enter for a chance to win prizes including an NVIDIA® GeForce RTX™ 4080 SUPER GPU, DLI credits, and more🙌 ➡️ link

• [2024/10/28] 🏎️🏎️🏎️ NVIDIA GH200 Superchip Accelerates Inference by 2x in Multiturn Interactions with Llama Models ➡️ link

• [2024/10/22] New 📝 Step-by-step instructions on how to ✅ Optimize LLMs with NVIDIA TensorRT-LLM, ✅ Deploy the optimized models with Triton Inference Server, ✅ Autoscale LLMs deployment in a Kubernetes environment. 🙌 Technical Deep Dive: ➡️ link

• [2024/10/07] 🚀🚀🚀Optimizing Microsoft Bing Visual Search with NVIDIA Accelerated Libraries ➡️ link

• [2024/09/29] 🌟 AI at Meta PyTorch + TensorRT v2.4 🌟 ⚡TensorRT 10.1 ⚡PyTorch 2.4 ⚡CUDA 12.4 ⚡Python 3.12 ➡️ link

• [2024/09/17] ✨ NVIDIA TensorRT LLM Meetup ➡️ link

• [2024/09/17] ✨ Accelerating LLM Inference at Databricks with TensorRT-LLM ➡️ link

• [2024/09/17] ✨ TensorRT LLM @ Baseten ➡️ link

• [2024/09/04] 🏎️🏎️🏎️ Best Practices for Tuning TensorRT LLM for Optimal Serving with BentoML ➡️ link

• [2024/08/20] 🏎️SDXL with #Model Optimizer ⏱️⚡ 🏁 cache diffusion 🏁 quantization aware training 🏁 QLoRA 🏁 #Python 3.12 ➡️ link

• [2024/08/13] 🐍 DIY Code Completion with #Mamba ⚡ #TensorRT #LLM for speed 🤖 NIM for ease ☁️ deploy anywhere ➡️ link

• [2024/08/06] 🗫 Multilingual Challenge Accepted 🗫 🤖 #TensorRT #LLM boosts low-resource languages like Hebrew, Indonesian and Vietnamese ⚡➡️ link

• [2024/07/30] Introducing🍊 @SliceXAI ELM Turbo 🤖 train ELM once ⚡ #TensorRT #LLM optimize ☁️ deploy anywhere ➡️ link

• [2024/07/23] 👀 @AIatMeta Llama 3.1 405B trained on 16K NVIDIA H100s - inference is #TensorRT #LLM optimized ⚡ 🦙 400 tok/s - per node 🦙 37 tok/s - per user 🦙 1 node inference ➡️ link

• [2024/07/09] Checklist to maximize multi-language performance of @meta #Llama3 with #TensorRT #LLM inference: ✅ MultiLingual ✅ NIM ✅ LoRA tuned adaptors➡️ Tech blog

• [2024/07/02] Let the @MistralAI MoE tokens fly 📈 🚀 #Mixtral 8x7B with NVIDIA #TensorRT #LLM on #H100. [➡️ Tech blog](https://developer.nvidia.com/blog/achieving-high-mixtral-8x7b-