ONNX Runtime Alternatives

Accelerates machine learning training and inference across platforms, languages, and hardware, optimizing for latency, throughput, and memory usage.
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ThirdAI

If you're looking for another alternative to ONNX Runtime, ThirdAI is another good option. It offers access to large language models and other AI models without requiring specific hardware. The platform is good for tasks like sentiment analysis and information retrieval with high accuracy and low latency. It's designed to be integrated with existing workflows and infrastructure, so it can be used in a variety of ways to bring AI to your projects.

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Coral

Another good option is Coral. This local AI platform is geared for on-device inferencing, which can help protect user privacy and run efficiently. Coral supports frameworks like TensorFlow Lite and runs on Debian Linux, macOS and Windows 10. Its products, including development boards and accelerators, are geared for smart cities, manufacturing, and health care, among other markets, and are designed to deliver reliable and efficient AI.

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Numenta

For businesses that need to run big AI models on CPUs, Numenta is worth a look. The platform uses the NuPIC system to run generative AI jobs without a GPU, with real-time performance optimization and easy scaling. Numenta is geared for industries like gaming, customer service and document retrieval, and can deliver high performance and scalability on CPU-only machines.

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Cerebras

Last, you should check out Cerebras, which offers an AI training platform with its wafer-scale engine (WSE-3) processor. The company's platform is geared for AI supercomputers and cloud services to accelerate large language model training. Cerebras offers tools and services like AI model services and cloud services for quick model training, and is geared for industries like Health & Pharma, Energy and Government.

More Alternatives to ONNX Runtime

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Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

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Hugging Face

Explore and collaborate on over 400,000 models, 150,000 applications, and 100,000 public datasets across various modalities in a unified platform.

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TensorFlow

Provides a flexible ecosystem for building and running machine learning models, offering multiple levels of abstraction and tools for efficient development.

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AMD

Accelerates data center AI, AI PCs, and edge devices with high-performance and adaptive computing solutions, unlocking business insights and scientific research.

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ZETIC.ai

Brings AI capabilities directly to devices, eliminating cloud server costs and ensuring top performance, energy efficiency, and enhanced data security.

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Lambda

Provision scalable NVIDIA GPU instances and clusters on-demand or reserved, with pre-configured ML environments and transparent pricing.

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Hailo

High-performance AI processors for edge devices, enabling efficient deep learning, computer vision, and generative AI capabilities in various industries.

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RunPod

Spin up GPU pods in seconds, autoscale with serverless ML inference, and test/deploy seamlessly with instant hot-reloading, all in a scalable cloud environment.

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Mystic

Deploy and scale Machine Learning models with serverless GPU inference, automating scaling and cost optimization across cloud providers.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Groq

Accelerates AI model inference with high-speed compute, flexible cloud and on-premise deployment, and energy efficiency for large-scale applications.

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Salad

Run AI/ML production models at scale with low-cost, scalable GPU instances, starting at $0.02 per hour, with on-demand elasticity and global edge network.

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TrueFoundry

Accelerate ML and LLM development with fast deployment, cost optimization, and simplified workflows, reducing production costs by 30-40%.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

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Modelbit

Deploy custom and open-source ML models to autoscaling infrastructure in minutes, with built-in MLOps tools and Git integration for seamless model serving.

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Ultralytics

Build and deploy accurate AI models without coding, leveraging pre-trained templates, mobile testing, and multi-format deployment for streamlined computer vision projects.