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features
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support

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Description

Elastic Cloud Server (ECS) offers secure and scalable computing resources that can be accessed on-demand, allowing for the flexible deployment of various applications and workloads. It ensures worry-free protection through comprehensive security measures. General computing ECSs strike a balance between computing power, memory, and network resources, making them suitable for applications with light to moderate workloads. For applications that handle substantial data volumes, memory-optimized ECSs with extensive memory capabilities and support for ultra-high I/O EVS disks and adaptable bandwidths are ideal. Alternatively, disk-intensive ECSs cater to applications that require efficient sequential read/write operations on massive datasets stored locally, such as those used in distributed Hadoop environments, along with large-scale parallel data processing and log management. These disk-intensive ECSs are compatible with HDDs, come with a standard network bandwidth of 10GE, and provide high packets per second (PPS) performance with minimal network latency, making them well-suited for demanding data-intensive tasks. Overall, ECS offers versatile options tailored to meet diverse computing needs in various industries.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Huawei Cloud Yes 
Huawei Cloud Elastic Volume Service Yes 
PanGu Chat No 

Integrations

Huawei Cloud No 
Huawei Cloud Elastic Volume Service No 
PanGu Chat Yes 

Pricing Details

$6.13 per month
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Huawei

Founded

1987

Country

China

Website

www.huaweicloud.com/intl/en-us/product/ecs.html

Vendor Details

Company Name

Huawei

Founded

1987

Country

China

Website

huawei.com

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Product Features

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