Exafunction vs. NVIDIA TensorRT Comparison


Exafunction	NVIDIA TensorRT NVIDIA	+	+
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About Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clusters and fine-tuning performance. In most deep learning applications, CPU, I/O, and network bottlenecks lead to poor utilization of GPU hardware. Exafunction moves any GPU code to highly utilized remote resources, even spot instances. Your core logic remains an inexpensive CPU instance. Exafunction is battle-tested on applications like large-scale autonomous vehicle simulation. These workloads have complex custom models, require numerical reproducibility, and use thousands of GPUs concurrently. Exafunction supports models from major deep learning frameworks and inference runtimes. Models and dependencies like custom operators are versioned so you can always be confident you’re getting the right results.	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 Enterprises searching for a solution to optimize their deep learning inference workload	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
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not 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 Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information Exafunction exafunction.com	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/tensorrt
Alternatives IBM Watson Machine Learning Accelerator IBM	Alternatives OpenVINO Intel
DeepCube	NVIDIA Triton Inference Server NVIDIA
AWS EC2 Trn3 Instances Amazon	NVIDIA DRIVE NVIDIA
Together AI	TensorWave
AWS Inferentia Amazon View All	Luminal View All
Categories AI Inference Supported Deep Learning Supported	Categories AI Inference Supported

Integrations PyTorch Supported TensorFlow Supported Dataoorts GPU Cloud Not Supported Hugging Face Not Supported Kimi K2 Not Supported Kimi K2.5 Not Supported Kimi K3 Not Supported NVIDIA Broadcast Not Supported NVIDIA Clara Not Supported NVIDIA DRIVE Not Supported NVIDIA DeepStream SDK Not Supported NVIDIA Jetson Not Supported NVIDIA Morpheus Not Supported NVIDIA NIM Not Supported NVIDIA Riva Studio Not Supported NVIDIA virtual GPU Not Supported Python Not Supported RankLLM Not Supported Thunder Compute Not Supported Ultralytics Not Supported Show More Integrations View All 2 Integrations	Integrations PyTorch Supported TensorFlow Supported Dataoorts GPU Cloud Supported Hugging Face Supported Kimi K2 Supported Kimi K2.5 Supported Kimi K3 Supported NVIDIA Broadcast Supported NVIDIA Clara Supported NVIDIA DRIVE Supported NVIDIA DeepStream SDK Supported NVIDIA Jetson Supported NVIDIA Morpheus Supported NVIDIA NIM Supported NVIDIA Riva Studio Supported NVIDIA virtual GPU Supported Python Supported RankLLM Supported Thunder Compute Supported Ultralytics Supported Show More Integrations View All 29 Integrations
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