What is the primary benefit of using EnergeticAI over standard TensorFlow.js?

EnergeticAI is optimized for serverless environments. It drastically reduces module size and cold-start times, making it up to 67x faster for the first inference in a serverless function.

Which Node.js versions are supported?

EnergeticAI requires Node.js version 18 or higher.

Is EnergeticAI free for commercial use?

Yes, it is licensed under the Apache 2.0 license, which allows for commercial use, modification, and distribution.

How do I install EnergeticAI?

You can install it via NPM using 'npm install @energetic-ai/core' along with specific model libraries like '@energetic-ai/embeddings'.

Does it support languages other than English?

Currently, the pre-trained models provided (like embeddings and classifiers) are primarily optimized for English.

Can I use existing TensorFlow.js code with EnergeticAI?

Yes, EnergeticAI is designed as a condensed replacement for TensorFlow.js and is compatible with much of its existing code and models.

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Developer Tools

Free

EnergeticAI

Open-source AI for Node.js optimized for serverless functions, featuring 67x faster inference and small module sizes (~3 MB).

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Rating

Reviews

Upvotes

3 months ago

Listed

Open Source

Node.js

Serverless

TensorFlow.js

Machine Learning

Developer Tools

Embeddings

Text Classification

JavaScript

TypeScript

Tool information

Provider

Jonathan Wilde

Platforms

Node.js

NPM

Serverless

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

Free

About EnergeticAI

What the tool does and who it's for

EnergeticAI is a specialized distribution of TensorFlow.js specifically optimized for serverless Node.js environments. It addresses the critical challenge of cold-start latency in cloud functions by reducing module size from hundreds of megabytes to just 3 MB, enabling inference speeds up to 67x faster than standard TensorFlow.js. Designed for ease of use, it provides pre-trained models for common tasks like sentence embeddings and text classification, allowing developers to integrate AI features into their applications without extensive machine learning expertise. The library is licensed under Apache 2.0, making it business-friendly for commercial projects.

Key capabilities

Optimized for Serverless: Specifically built to eliminate high cold-start latency in cloud functions.

Small Module Footprint: Reduced package size of ~3 MB compared to the 146 MB+ of standard TensorFlow.js.

Fast Cold-Start Inference: Achieve ~50ms initialization compared to 2000ms+ in traditional environments.

Pre-trained Embeddings: Ready-to-use models for generating sentence embeddings and recommendations.

Text Classifiers: Easily categorize text into labels with minimal training data required.

Apache 2.0 License: Open-source and business-friendly licensing for commercial use.

NPM Integration: Modular installation via @energetic-ai/core and specific model packages.

TypeScript Support: Native types included for a robust developer experience.

Pricing

Free — plans below

Open Source

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