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Candle

Candle is an open-source machine-learning framework written in Rust. It provides tensor operations and examples for integrating model-related tasks—including text generation, speech recognition and image processing—into Rust applications.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Candle — OpenViST project profile in AI Developer Tools & SDKs.
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Understand the project

Practical overview

When it fits

Use Candle when you want an ML framework for a Rust project and are prepared to follow its installation guidance and work with the relevant examples.

Who it is for

  • Rust developers adding machine-learning functionality to applications.
  • Developers exploring documented ML examples, including text, speech and vision tasks.

Documented uses

  • Build Rust applications that use machine-learning components.
  • Perform tensor operations such as matrix multiplication.
  • Explore example implementations for model tasks including text generation, speech recognition, object detection and image segmentation.
Before you choose

Requirements & limits

The project is publicly available on GitHub under the Apache-2.0 license.

  • Candle is written for the Rust ecosystem.
  • The README documents a CPU tensor example and a CUDA device option that depends on installing Candle with CUDA support.
  • The repository links browser demos and command-line examples for a range of model tasks.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Change the matrix multiplication example to use a CUDA GPU

Set the documented matrix multiplication example to use CUDA device 0.

Before you start

  • Candle installed with CUDA support.
  • The Rust matrix multiplication example with its device defined.

Steps

  1. Replace let device = Device::Cpu; with let device = Device::new_cuda(0)?;.

  2. Use that device for the example’s tensor creation and multiplication.

Expected outcome

The example is configured to use CUDA device 0 for its tensors and multiplication.

Guide limitations

  • The README specifies the CUDA-support prerequisite but does not document installation steps or GPU execution results.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
12 October 2026
Original website title
huggingface/candle · Official homepage title · retained in its source language
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