OpenVINOIntel
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Related Products
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About
Luminal is a machine-learning framework built for speed, simplicity, and composability, focusing on static graphs and compiler-based optimization to deliver high performance even for complex neural networks. It compiles models into minimal “primops” (only 12 primitive operations) and then applies compiler passes to replace those with device-specific optimized kernels, enabling efficient execution on GPU or other backends. It supports modules (building blocks of networks with a standard forward API) and the GraphTensor interface (typed tensors and graphs at compile time) for model definition and execution. Luminal’s core remains intentionally small and hackable, with extensibility via external compilers for datatypes, devices, training, quantization, and more. Quick-start guidance shows how to clone the repo, build a “Hello World” example, or run a larger model like LLaMA 3 using GPU features.
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About
The Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
ML infrastructure engineers and researchers seeking a tool offering a deployment framework for GPUs or heterogeneous devices
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Audience
AI developers and data scientists seeking optimized, scalable AI deployment solutions across Intel hardware for applications in computer vision, LLMs, and generative AI
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationLuminal
United States
luminalai.com
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Company InformationIntel
Founded: 1968
United States
www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
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Alternatives |
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Categories |
Categories |
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Integrations
Hugging Face
Supported
Caffe
Not Supported
Cameralyze
Not Supported
EndoAim
Not Supported
Intel Geti
Not Supported
Intel Open Edge Platform
Not Supported
Keras
Not Supported
LaunchX
Not Supported
Llama 3
Supported
Nero AI
Not Supported
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Integrations
Hugging Face
Supported
Caffe
Supported
Cameralyze
Supported
EndoAim
Supported
Intel Geti
Supported
Intel Open Edge Platform
Supported
Keras
Supported
LaunchX
Supported
Llama 3
Not Supported
Nero AI
Supported
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