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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Intel’s Gaudi software provides developers with an extensive array of tools, libraries, containers, model references, and documentation designed to facilitate the creation, migration, optimization, and deployment of AI models on Intel® Gaudi® accelerators. This platform streamlines each phase of AI development, encompassing training, fine-tuning, debugging, profiling, and enhancing performance for generative AI (GenAI) and large language models (LLMs) on Gaudi hardware, applicable in both data center and cloud settings. The software features current documentation that includes code samples, best practices, API references, and guides aimed at maximizing the efficiency of Gaudi solutions such as Gaudi 2 and Gaudi 3, while also ensuring compatibility with widely-used frameworks and tools for model portability and scalability. Users have access to performance metrics to evaluate training and inference benchmarks, can leverage community and support resources, and benefit from specialized containers and libraries designed for high-performance AI workloads. Furthermore, Intel's commitment to ongoing updates ensures that developers remain equipped with the latest advancements and optimizations for their AI projects.

Description

Unsloth is an innovative open-source platform specifically crafted to enhance and expedite the fine-tuning and training process of Large Language Models (LLMs). This platform empowers users to develop customized models, such as ChatGPT, in just a single day, a remarkable reduction from the usual training time of 30 days, achieving speeds that can be up to 30 times faster than Flash Attention 2 (FA2) while significantly utilizing 90% less memory. It supports advanced fine-tuning methods like LoRA and QLoRA, facilitating effective customization for models including Mistral, Gemma, and Llama across its various versions. The impressive efficiency of Unsloth arises from the meticulous derivation of computationally demanding mathematical processes and the hand-coding of GPU kernels, which leads to substantial performance enhancements without necessitating any hardware upgrades. On a single GPU, Unsloth provides a tenfold increase in processing speed and can achieve up to 32 times improvement on multi-GPU setups compared to FA2, with its functionality extending to a range of NVIDIA GPUs from Tesla T4 to H100, while also being portable to AMD and Intel graphics cards. This versatility ensures that a wide array of users can take full advantage of Unsloth's capabilities, making it a compelling choice for those looking to push the boundaries of model training efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Yes 
ChatGPT No 
Devstral No 
Gemma No 
Google Colab No 
IONOS Cloud GPU Servers Yes 
Intel Tiber AI Cloud Yes 
Kaggle No 
Llama No 
Llama 2 No 
Llama 3 No 
Mistral AI No 
Muse Glimmer No 
NVIDIA DRIVE No 
Thunder Compute No 

Integrations

Amazon EC2 No 
ChatGPT Yes 
Devstral Yes 
Gemma Yes 
Google Colab Yes 
IONOS Cloud GPU Servers No 
Intel Tiber AI Cloud No 
Kaggle Yes 
Llama Yes 
Llama 2 Yes 
Llama 3 Yes 
Mistral AI Yes 
Muse Glimmer Yes 
NVIDIA DRIVE Yes 
Thunder Compute Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Intel

Founded

1968

Country

United States

Website

www.intel.com/content/www/us/en/developer/platform/gaudi/overview.html

Vendor Details

Company Name

Unsloth

Founded

2023

Country

United States

Website

unsloth.ai/

Product Features

Product Features

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