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ease
features
design
support

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Description

Launch your first AI automation in just a minute. Inferable is designed to integrate smoothly with your current codebase and infrastructure, enabling the development of robust AI automation while maintaining both control and security. It works seamlessly with your existing code and connects with your current services through an opt-in process. With the ability to enforce determinism via source code, you can programmatically create and manage your automation solutions. You maintain ownership of the hardware within your own infrastructure. Inferable offers a delightful developer experience right from the start, making it easy to embark on your journey into AI automation. While we provide top-notch vertically integrated LLM orchestration, your expertise in your product and domain is invaluable. Central to Inferable is a distributed message queue that guarantees the scalability and reliability of your AI automations. This system ensures correct execution of your automations and handles any failures with ease. Furthermore, you can enhance your existing functions, REST APIs, and GraphQL endpoints by adding decorators that require human approval, thereby increasing the robustness of your automation processes. This integration not only elevates the functionality of your applications but also fosters a collaborative environment for refining your AI solutions.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Airstack
Amazon Web Services (AWS)
Axis LMS
Cirrascale
Docker
EndoAim
GIGABYTE Rack Server
Go
GraphQL
HPE Apollo
Hugging Face
Node.js
ONNX
PyTorch
TensorFlow

Integrations

.NET
Airstack
Amazon Web Services (AWS)
Axis LMS
Cirrascale
Docker
EndoAim
GIGABYTE Rack Server
Go
GraphQL
HPE Apollo
Hugging Face
Node.js
ONNX
PyTorch
TensorFlow

Pricing Details

$0.006 per KB
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Inferable

Country

United States

Website

www.inferable.ai/

Vendor Details

Company Name

Qualcomm

Website

www.qualcomm.com/developer/software/cloud-ai-sdk

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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