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Description
The QVAC SDK serves as a toolkit designed for developers looking to integrate on-device AI inference into their applications crafted with JavaScript/TypeScript or Python. It supplies a unified API to facilitate the execution of various supported language, vision, and speech models across both mobile and desktop platforms, encompassing features like model discovery and downloads, inference APIs, and optional connections to remote providers. With this toolkit, developers can create AI features that function offline, ensuring that prompts and processing occur directly on the device for local inference. Additionally, QVAC provides an OpenAI-compatible server alongside plugins that seamlessly link local models with developer tools. Aimed primarily at those developing AI-enhanced applications, the SDK's documentation outlines processes for setup, choosing models, handling tasks related to text generation, image, and audio, as well as invoking tools; the available functionalities can vary based on the chosen model and platform. Furthermore, the QVAC SDK is accessible as free, open-source software under the Apache 2.0 license, and using local inference does not necessitate a hosted QVAC account, making it even more appealing for developers. This flexibility and ease of use make the QVAC SDK a robust choice for integrating AI capabilities into modern applications.
Description
The Qualcomm Cloud AI SDK serves as a robust software suite aimed at enhancing the performance of trained deep learning models for efficient inference on Qualcomm Cloud AI 100 accelerators. It accommodates a diverse array of AI frameworks like TensorFlow, PyTorch, and ONNX, which empowers developers to compile, optimize, and execute models with ease. Offering tools for onboarding, fine-tuning, and deploying models, the SDK streamlines the entire process from preparation to production rollout. In addition, it includes valuable resources such as model recipes, tutorials, and sample code to support developers in speeding up their AI projects. This ensures a seamless integration with existing infrastructures, promoting scalable and efficient AI inference solutions within cloud settings. By utilizing the Cloud AI SDK, developers are positioned to significantly boost the performance and effectiveness of their AI-driven applications, ultimately leading to more innovative solutions in the field.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Hugging Face
Yes
Airstack
No
Amazon Web Services (AWS)
No
Cirrascale
No
Docker
No
EndoAim
No
GIGABYTE Rack Server
No
HPE Apollo
No
ONNX
No
OpenClaw
Yes
Integrations
Hugging Face
Yes
Airstack
Yes
Amazon Web Services (AWS)
Yes
Cirrascale
Yes
Docker
Yes
EndoAim
Yes
GIGABYTE Rack Server
Yes
HPE Apollo
Yes
ONNX
Yes
OpenClaw
No
Pricing Details
$0
Free and open source under Apache 2.0. Local inference has no subscription, API-key, or per-token charge.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Tether Data
Country
El Salvador
Website
qvac.tether.io/products/sdk
Vendor Details
Company Name
Qualcomm
Website
www.qualcomm.com/developer/software/cloud-ai-sdk
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
