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Qualcomm AI Hub
Deploy optimized AI models on Qualcomm devices
Go to 📚 Large Language Models
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Claude
38,443
Gemini
38,111
Mistral AI
6,857
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5,188
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4,610
Google Bard
4,105
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2,510
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2,465
Prem AI
1,326
GOODY-2
1,269
Vertex AI
1,208
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1,009
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901
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760
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139
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17
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1,298
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1,119
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1,005
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915
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5,337
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5,129
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4,222
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3,892
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3,474
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3,457
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3,209
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3,110
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326
Yourself commercial model figure
12
Qualcomm AI Hub
Inputs:
Outputs:
Deploy optimized AI models on Qualcomm devices
Most popular alternative: Claude (456 saves)
By unverified author Claim this AI
The Qualcomm AI Hub is a comprehensive platform offering access to fully optimized and ready-to-deploy AI models. These models are validated by Qualcomm and specifically optimized to leverage Qualcomms AI Engine which supports CPU, GPU, and NPU acceleration.
Users can explore a range of AI models for various applications such as high-resolution image in-painting, real-time object detection, image noise reduction, human body pose estimation, speech denoising and more.
The models can be utilized on-device, and are compatible with a wide range of platforms and devices, including various models of the Snapdragon mobile platform, as well as numerous Samsung and Xiaomi devices.
Deployment support extends to Android devices, utilizing TensorFlow Lite or Qualcomm AI Engine Direct. The hub also provides a wide range of models like Segment-Anything-Model, Stable-Diffusion, Whisper-Base, TrOCR, MediaPipe-Face-Detection, and more.
Each model serves a unique purpose, from generating high-quality segmentation masks or detailed images based on text prompts to offering automatic speech recognition, optical character recognition, and face detection among other functionalities.
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Releases
Get notified when a new version of Qualcomm AI Hub is released
Notify me
February 27, 2024
Initial release of Qualcomm AI Hub.
Pricing
Pricing model
No Pricing
Prompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
Qualcomm AI Hub was manually vetted by our editorial team and was first featured on February 28th 2024.
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73,301513v2.5 released 1mo agoFrom $500/mo
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Build smarter AI voice agents with the best speech recognition technologyOpen23,28722Released 1mo agoFree + from $0.24
Pros and Cons
Pros
Supports CPU, GPU, NPU
Wide range of applications
Compatible with many devices
Supports Snapdragon mobile platforms
Supports Samsung, Xiaomi devices
Deployment on Android devices
Utilizes TensorFlow Lite
High-quality segmentation masks
Optical character recognition
Face detection functionality
Works with text prompts
Automatic speech recognition
Image noise reduction support
Real-time object detection
High-resolution image in-painting
Human body pose estimation
Optimized for mobile, edge
Speech denoising capability
Segment-Anything-Model availability
Stable-Diffusion for image generation
Access to Whisper-Base model
Accessibility of TrOCR model
Large Language Models Access
Ready-to-deploy models
Associated community support
Demo provision
Optimized hardware acceleration
Variety of Snapdragon platforms supported
Wide range of supported devices
Segment-Anything-Model for mask generation
State-of-art Stable-Diffusion model
Multilingual Whisper-Base model
Transformer based TrOCR model
Real-Time MediaPipe Face Detection
Real-time object detection with Yolo-v7
Baichuan-7B for language tasks
State-of-art performance on language benchmarks
Hosted Qualcomm devices available
Easily deployable models
Direct SDK available
Specialized for on-device solutions
Handwritten text recognition
Real-time facial feature location
View 38 more pros
Cons
Limited platform support
Restricted to Qualcomm devices
Only uses TensorFlow Lite
No iOS deployment
Potential compatibility issues
Platform-specific optimizations
Limited device support
Dependent on Snapdragon platforms
View 3 more cons
7 alternatives to Qualcomm AI Hub for Large Language Models
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Building reliable, interpretable AI systems38,4434564.5 released 19d agoFree + from $20/moThe most humanly AI i have used so far but the problem is as soon as you start piling up messages in single chat session , it starts getting slow and at some point it starts freezing and also uses a lot of resources. For time being its okay to do 3 4 messages but as soon as we continue it has messages limitation and also starts getting very very slow . For the price of £18 per month this is unacceptable and with the newly introduced feature called project, if we start new chat within the project we cannot continue with the context we provided in other chats within same project. There are lot of improvements for them to work on. And to start with the its speed and its price -
Gemini: Google's most capable AI model yet38,1113272.5 Pro released 6mo agoFree + from $19.99 -
Frontier AI in your hands6,85771Large 2 released 1y agoFree + from $14.99I just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further -
Run powerful AI models locally on your machine.5,18849Released 2y agoFree + from $20/mo -
Open-source AI models for customization and deployment.4,61071v4 released 6mo agoNo pricingA huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. I’ll be skipping this version. -
Supercharge your imagination and bring ideas to life4,10593Released 2y ago100% Free -
Create custom NLP models effortlessly2,51021Released 2y agoNo pricing
View 13 more alternatives
Q&A
What is the Qualcomm AI Hub?
Qualcomm AI Hub is a comprehensive platform that provides access to fully optimized and ready-to-deploy AI models. These models are validated and optimized by Qualcomm and take advantage of Qualcomm's AI Engine.
What are the key features of Qualcomm AI Hub?
The key features of Qualcomm AI Hub include access to fully optimized and ready-to-deploy AI models, support for on-device deployment, compatibility with diverse platforms and devices, and specific optimization for the Qualcomm AI Engine which supports CPU, GPU, and NPU acceleration. Each AI model in the hub serves a unique purpose ranging from image processing, object detection, speech denoising, to human body pose estimation.
How does Qualcomm AI Hub AI Engine support CPU, GPU, and NPU acceleration?
The Qualcomm AI Hub's AI Engine optimizes AI models to fully leverage the acceleration capabilities of a CPU, GPU, or NPU. This ensures the model's high performance and efficient execution, especially on Qualcomm-enhanced platforms and devices.
What kind of AI models does Qualcomm AI Hub offer?
Qualcomm AI Hub offers a wide variety of AI models for diverse applications. These include models such as Segment-Anything-Model, Stable-Diffusion, Whisper-Base, TrOCR, MediaPipe-Face-Detection, and more. They can be utilized for tasks like high-resolution image in-painting, real-time object detection, speech denoising, human body pose estimation, face detection, and many others.
How can we use Qualcomm AI Hub AI models on-device?
Qualcomm AI Hub's AI models can be deployed directly on-device, by making use of either TensorFlow Lite or Qualcomm AI Engine Direct. This allows the AI models to run efficiently on the device's local CPU, GPU, or NPU, thereby ensuring swift functionality and low latency.
What platforms and devices are compatible with Qualcomm AI Hub AI models?
Qualcomm AI Hub's AI models are compatible with a wide range of platforms and devices. These include various models of the Snapdragon mobile platform, numerous Samsung and Xiaomi devices, and many more. It also supports deployment on multiple generations of Snapdragon, as well as Qualcomm Robotics RB5.
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