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Description

In the absence of a file system, all information stored in a medium would appear as a single, unbroken mass of data, making it impossible to discern where one piece of information ends and another begins. By organizing the data into discrete units and assigning each a unique identifier, the information can be easily accessed and recognized. This method of categorization mirrors traditional paper-based systems, where each collection of data is referred to as a "file." The framework and set of rules that govern the organization and naming of these data groups is known as a "file system." Network-attached storage (NAS) serves as a file-level data storage solution connected to a network, allowing diverse clients to access data seamlessly. NAS is specifically engineered to deliver file services through its hardware, software, or configuration, often taking the form of a dedicated computer appliance designed for this singular purpose. Consequently, NAS systems enhance the efficiency of file management across various devices and platforms.

Description

Recent breakthroughs in natural language processing, comprehension, and generation have been greatly influenced by the development of large language models. This research presents a system that employs Ascend 910 AI processors and the MindSpore framework to train a language model exceeding one trillion parameters, specifically 1.085 trillion, referred to as PanGu-{\Sigma}. This model enhances the groundwork established by PanGu-{\alpha} by converting the conventional dense Transformer model into a sparse format through a method known as Random Routed Experts (RRE). Utilizing a substantial dataset of 329 billion tokens, the model was effectively trained using a strategy called Expert Computation and Storage Separation (ECSS), which resulted in a remarkable 6.3-fold improvement in training throughput through the use of heterogeneous computing. Through various experiments, it was found that PanGu-{\Sigma} achieves a new benchmark in zero-shot learning across multiple downstream tasks in Chinese NLP, showcasing its potential in advancing the field. This advancement signifies a major leap forward in the capabilities of language models, illustrating the impact of innovative training techniques and architectural modifications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

PanGu Chat

Integrations

PanGu Chat

Pricing Details

Free
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

EasyNAS

Website

easynas.org

Vendor Details

Company Name

Huawei

Founded

1987

Country

China

Website

huawei.com

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