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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

ML infrastructure engineers and researchers seeking a tool offering a deployment framework for GPUs or heterogeneous devices

Audience

Companies requiring a tool to detect, control and interact with virtually every device

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Luminal
United States
luminalai.com

Company Information

QuickSet Cloud
United States
quicksetcloud.com/device-knowledge-graph/

Alternatives

Alternatives

Deci

Deci

Deci AI
AllegroGraph

AllegroGraph

Franz Inc.

Categories

Categories

Integrations

Hugging Face
Llama 3

Integrations

Hugging Face
Llama 3
Claim Luminal and update features and information
Claim Luminal and update features and information
Claim QuickSet Cloud Device Knowledge Graph and update features and information
Claim QuickSet Cloud Device Knowledge Graph and update features and information