DeepInfer vs. NVIDIA TensorRT Comparison


DeepInfer DeepSeek	NVIDIA TensorRT NVIDIA	+	+
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About DeepInfer is an open-source inference framework for running DeepSeek language models on Linux systems with supported NVIDIA or Huawei Ascend accelerators. It provides offline inference and runtime components for model execution, optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, deterministic generation, and structured outputs such as JSON Schema, regular expressions, and EBNF formats. The project documents DeepSeek-V4.1-Flash support and includes build instructions, configuration guidance, examples, and evaluation tools. It is intended for developers and infrastructure teams building or evaluating self-managed inference deployments. Its repository notes that production services may require additional KV-cache, prefill/decode disaggregation, and load-balancing components not included in this release.	About NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.
Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Not Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers and infrastructure teams deploying or evaluating DeepSeek model inference on supported accelerator hardware.	Audience Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information DeepSeek Founded: 2023 China github.com/deepseek-ai/DeepInfer	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/tensorrt
Alternatives vLLM	Alternatives OpenVINO Intel
Wafer	NVIDIA Triton Inference Server NVIDIA
DeepSeek-V2 DeepSeek	NVIDIA DRIVE NVIDIA
NVIDIA TensorRT NVIDIA	TensorWave
ModelArk ByteDance View All	Luminal View All
Categories AI Inference Supported	Categories AI Inference Supported

Integrations CUDA Not Supported Kimi K2 Not Supported Kimi K2.5 Not Supported Kimi K2.6 Not Supported Kimi K2.7 Code Not Supported Kimi K3 Not Supported LaunchX Not Supported MATLAB Not Supported NVIDIA AI Enterprise Not Supported NVIDIA Clara Not Supported NVIDIA Jetson Not Supported NVIDIA Riva Studio Not Supported NVIDIA virtual GPU Not Supported PyTorch Not Supported Python Not Supported RankGPT Not Supported RankLLM Not Supported Rosepetal AI Not Supported TensorFlow Not Supported Thunder Compute Not Supported Show More Integrations	Integrations CUDA Supported Kimi K2 Supported Kimi K2.5 Supported Kimi K2.6 Supported Kimi K2.7 Code Supported Kimi K3 Supported LaunchX Supported MATLAB Supported NVIDIA AI Enterprise Supported NVIDIA Clara Supported NVIDIA Jetson Supported NVIDIA Riva Studio Supported NVIDIA virtual GPU Supported PyTorch Supported Python Supported RankGPT Supported RankLLM Supported Rosepetal AI Supported TensorFlow Supported Thunder Compute Supported Show More Integrations View All 29 Integrations
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