QuickSet Cloud Device Knowledge GraphQuickSet Cloud
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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
A global device knowledge graph provides structured and detailed information about devices, their capabilities, and services they offer as well as the relationships among them. Every device within the home has a set of device properties such as its brand name, model number, series number, manufacturer, current capabilities and offerings, physical and software characteristics, compatible devices, region information, and much more. This extensive range of information for nearly every AV device in the world is contained in QuickSet’s device knowledge graph. QuickSet leverages this knowledge graph, to serve up a full range of capabilities for a device. Beyond control, this knowledge graph also adds the much-needed context to all user commands and actions, making dynamic capability discovery of nearby devices possible. QuickSet relies on algorithms that utilize the knowledge graph of devices with varying control capabilities, communication interfaces, and protocols.
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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
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
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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
Companies requiring a tool to detect, control and interact with virtually every device
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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
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Pricing
No information available.
Free Version
Not 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 InformationQuickSet Cloud
United States
quicksetcloud.com/device-knowledge-graph/
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Categories |
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Integrations
Hugging Face
Not Supported
Llama 3
Not Supported
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