HACKSTORM: INTEL® AI PC EDITION

live
3998 Registered Allowed team size: 1 - 5
3998 Registered Allowed team size: 1 - 5
Ideation Phase
Online
starts on:
Nov 13, 2024, 12:30 PM UTC (UTC)
ends on:
Dec 08, 2024, 06:29 PM UTC (UTC)

Resource Center

The Intel® AI Analytics Toolkit includes several libraries and frameworks optimized for Intel® Architecture. Participants can use any of the library/framework of their choice that is listed here.

This ideation challenge will lay the groundwork for generating high-quality projects and prototypes, focusing on Intel® AI PC technology and harnessing the full potential of NPU and GPU capabilities.

Intel® Framework/Library

Description

Link

Intel® oneAPI Toolkits

A cross-architecture platform for developing high-performance, data-centric applications.

 Link here

Intel® oneDNN (Deep Neural Network Library)

An open-source performance library for deep learning applications.

 Link here 

 (Refer pdf)

Intel® AI Analytics Toolkit

Tools for accelerating data science and AI workloads using Intel® architecture.

 Link here

Intel® Distribution of OpenVINO™ Toolkit

Optimizes deep learning models for inference on Intel® hardware, including CPUs, GPUs, and VPUs.

 Link here

Intel® Distribution for Python

Optimized Python distribution for faster performance on Intel® Architectures.

 Link here

Intel® DAAL (Data Analytics Acceleration Library)

Provides fast, scalable, and high-performing data analytics algorithms.

 Link here 

(Refer pdf)

Intel® Neural Compressor

A tool for model compression, quantization, and optimization to accelerate AI inference on Intel® hardware.

 Link here

TensorFlow* Optimizations from Intel®

Optimizations and extensions for TensorFlow to boost performance on Intel® Architecture.

 Link here

PyTorch* Optimizations from Intel®

Enhances PyTorch performance on Intel® processors.

 Link here

Intel® Tiber™ AI Cloud

Cloud-based access to Intel®’s AI accelerators for quick prototyping and development.

 Link here 

(refer ITAI word link)

Examples of Pretrained models optimized with Intel® technologies on Hugging Face

Model Name

Description

Link

Home

The complete collection of the Intel® + Hugging Face Models

 Link here

Intel®/dynamic_tinybert

A compact model designed for question-answering tasks, optimized for faster performance.

 Link here

Intel®/dpt-large

A depth estimation model known for its accuracy in estimating depth from images.

 Link here

Intel®/distilbart-cnn-12-6-int8-dynamic-inc

A distilled version of BART, optimized for text generation tasks like summarization with INT8 quantization for faster inference.

 Link here

Intel®/ldm3d-4c

A model designed for generating 3D objects from text inputs, leveraging Intel®'s optimizations.

 Link here

For Text generation

A collection of models from Intel® for the text generation 

 Link here

For Text to Image generation

A collection of models from Intel® for the image generation

 Link here

Intel®/neural-chat-7b-v3-1-int4-inc

Intel® neural chat engine for the real time chat applications 

 Link here

 

starts on:
Nov 13, 2024, 12:30 PM UTC (UTC)
closes on:
Dec 08, 2024, 06:29 PM UTC (UTC)

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