Amazon Elastic Inference vs. NVIDIA TensorRT Comparison


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About Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Sagemaker instances or Amazon ECS tasks, to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch and ONNX models. Inference is the process of making predictions using a trained model. In deep learning applications, inference accounts for up to 90% of total operational costs for two reasons. Firstly, standalone GPU instances are typically designed for model training - not for inference. While training jobs batch process hundreds of data samples in parallel, inference jobs usually process a single input in real time, and thus consume a small amount of GPU compute. This makes standalone GPU inference cost-inefficient. On the other hand, standalone CPU instances are not specialized for matrix operations, and thus are often too slow for deep learning inference.	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 Not Supported Cloud Supported On-Premises Not 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 IT teams that need an advanced Infrastructure as a Service solution	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 Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
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Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
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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 Amazon Founded: 2006 United States aws.amazon.com/machine-learning/elastic-inference/	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/tensorrt
Alternatives Amazon EC2 Inf1 Instances Amazon	Alternatives OpenVINO Intel
Amazon EC2 G4 Instances Amazon	NVIDIA Triton Inference Server NVIDIA
AWS Neuron Amazon Web Services	NVIDIA DRIVE NVIDIA
AWS Inferentia Amazon	TensorWave
Google Cloud AI Infrastructure Google View All	Luminal View All
Categories Infrastructure-as-a-Service (IaaS) Supported	Categories AI Inference Supported

Integrations PyTorch Supported TensorFlow Supported Amazon EC2 G4 Instances Supported Amazon Web Services (AWS) Supported CUDA Not Supported Dataoorts GPU Cloud Not Supported Hugging Face Not Supported Kimi K2 Not Supported Kimi K2.7 Code Not Supported Kimi K3 Not Supported LaunchX Not Supported MXNet Supported NVIDIA Broadcast Not Supported NVIDIA DRIVE Not Supported NVIDIA DeepStream SDK Not Supported NVIDIA Riva Studio Not Supported NVIDIA virtual GPU Not Supported Python Not Supported RankGPT Not Supported Rosepetal AI Not Supported Show More Integrations View All 6 Integrations	Integrations PyTorch Supported TensorFlow Supported Amazon EC2 G4 Instances Not Supported Amazon Web Services (AWS) Not Supported CUDA Supported Dataoorts GPU Cloud Supported Hugging Face Supported Kimi K2 Supported Kimi K2.7 Code Supported Kimi K3 Supported LaunchX Supported MXNet Not Supported NVIDIA Broadcast Supported NVIDIA DRIVE Supported NVIDIA DeepStream SDK Supported NVIDIA Riva Studio Supported NVIDIA virtual GPU Supported Python Supported RankGPT Supported Rosepetal AI Supported Show More Integrations View All 29 Integrations
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