Amazon Elastic InferenceAmazon
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QVACTether Data
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Related Products
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About
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Sagemaker instances or Amazon ECS tasks, to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch and ONNX models. Inference is the process of making predictions using a trained model. In deep learning applications, inference accounts for up to 90% of total operational costs for two reasons. Firstly, standalone GPU instances are typically designed for model training - not for inference. While training jobs batch process hundreds of data samples in parallel, inference jobs usually process a single input in real time, and thus consume a small amount of GPU compute. This makes standalone GPU inference cost-inefficient. On the other hand, standalone CPU instances are not specialized for matrix operations, and thus are often too slow for deep learning inference.
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About
QVAC SDK is a developer toolkit for adding on-device AI inference to applications built with JavaScript/TypeScript or Python. It provides a common API for running supported language, vision, and speech models on mobile and desktop devices, with model discovery and downloads, inference APIs, and optional remote providers. Developers can build offline-capable AI features and, for local inference, keep prompts and processing on the device. QVAC also offers an OpenAI-compatible server and plugins that connect local models to developer tools. The SDK is intended for developers building AI-enabled applications. Its documentation covers setup, model selection, text generation, image and audio tasks, and tool calling; available features depend on the selected model and platform. QVAC SDK is free, open-source software under Apache 2.0; local inference requires no hosted QVAC account.
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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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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
IT teams that need an advanced Infrastructure as a Service solution
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Audience
Software developers and product teams building AI-enabled mobile, desktop, and other applications that need local or peer-to-peer AI inference.
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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
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0
Free and open source under Apache 2.0. Local inference has no subscription, API-key, or per-token charge.
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
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In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 2006
United States
aws.amazon.com/machine-learning/elastic-inference/
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Company InformationTether Data
El Salvador
qvac.tether.io/products/sdk
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Categories |
Categories |
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Integrations
Amazon EC2
Supported
Amazon EC2 G4 Instances
Supported
Amazon Web Services (AWS)
Supported
Hugging Face
Not Supported
MXNet
Supported
OpenClaw
Not Supported
OpenCode
Not Supported
PyTorch
Supported
TensorFlow
Supported
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Integrations
Amazon EC2
Not Supported
Amazon EC2 G4 Instances
Not Supported
Amazon Web Services (AWS)
Not Supported
Hugging Face
Supported
MXNet
Not Supported
OpenClaw
Supported
OpenCode
Supported
PyTorch
Not Supported
TensorFlow
Not Supported
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