Management cannot keep up with rapidly changing business needs.
The complexity of the organizational model makes it difficult to meet security compliance requirements。Management cannot keep up with rapidly changing business needs.
The complexity of the organizational model makes it difficult to meet security compliance requirements。
New capabilities such as AI, IoT, blockchain are slow and costly to acquire.
Diversified forms of computing power are required to support diversified needs.New capabilities such as AI, IoT, blockchain are slow and costly to acquire.
Diversified forms of computing power are required to support diversified needs.
A closed platform architecture makes it difficult to access new services.
Slow access to the latest industry applications, inefficient in promoting best practices.A closed platform architecture makes it difficult to access new services.
Slow access to the latest industry applications, inefficient in promoting best practices.
Resources are scattered in siloed systems, making it difficult to share them.
Difficult to reuse legacy IT assets by making them part of a unified platform.Resources are scattered in siloed systems, making it difficult to share them.
Difficult to reuse legacy IT assets by making them part of a unified platform.
Cloud Migration & Cloud Native
Big Data Analytics
Cloud Migration & Cloud Native
HUAWEI CLOUD Stack can meet the performance needs of running enterprises' highly sophisticated, core application systems on the cloud. It offers best-in-class IaaS services and containers for various types of workloads, such as office applications, heavy-load applications, active-active applications, and web applications, with fast TTM and simplified O&M.
Unified management and hybrid deployment of x86 and Kunpeng resource pools; multi-cloud management; and takeover of legacy 3rd-party virtualization systems to protect customer investment, accommodating diverse business needs.
Fast orchestration of various types of resources with simple drag-and-drop, and one-click deployment of core applications; automated, service-oriented O&M; rapid scaling of containerized cloud-native applications; and increased resource utilization.
All-round security protection, covering network, virtualization,
cloud services, and governance. Tenant-level DR services are easy to deploy, including local DR, same-city DR, remote DR,
and geo-redundant DR (3DC).
Big Data Analytics
HUAWEI CLOUD Stack offers data lifecycle management solutions, covering data collection, storage, computing, management, and use. With a wide array of cloud services used for intelligent data processing, such as MRS, DWS, CSS, GES and DAYU , HUAWEI CLOUD Stack helps governments, financial organizations, telecom carriers, and large enterprises extract value from massive amounts of data and run a data-driven business.
The time needed to deploy a big data platform is reduced from 22 days to just 1 hour
Multi-source converged data analysis improves performance by over 10 times; and data retention period is doubled.
Huawei partners with 800 top ISVs to build an intelligent data lake ecosystem, and uses DAYU to share data models, enabling AI developers.
With ModelArts, HUAWEI CLOUD Stack offers a one-stop platform for developing enterprise-class AI applications. AI development is simplified with the advanced algorithms, quick training, and preset workflows and models provided by HUAWEI CLOUD. In addition, customers can quickly develop, share, and launch applications through self-service workflow orchestration. With these, HUAWEI CLOUD aims to create an open AI ecosystem for Inclusive AI.
Data processing, model development, training, management, and deployment, which you can access on demand.
Various types of preset models; automated model hyperparameter tuning; zero-code AI development, and
simplified model training
Huawei's in-house deep learning framework allows for fast
algorithm development and training. Optimized GPU utilization accelerates inference on the cloud. Models can run on Ascend chips to allow efficient inference on the edge and even on end devices.
Multiple open-source frameworks (such as TensorFlow and Spark_MLlib), mainstream GPUs, and Huawei Ascend chips are supported.
HUAWEI CLOUD Stack helps governments and enterprises digitize and thereby activate core industry assets accumulated over the years using leading-edge technologies, including cloud computing, big data, AI, and service-oriented architecture (SOA), transforming them into digital services that can be made accessible to external users. This helps improve IT efficiency, accelerate ecosystem growth, and drive innovation.
One cloud for multi-branch, multi-site, multi-DC, and multi-edge scenarios, helping customers evolve towards a distributed cloud architecture; flexible multi-level management and O&M for the entire network.
Resources, data, applications, and management.
Big data, AI, container, microservice, and edge computing are used to transform customers' core application systems and move them onto the cloud.
An open architecture supports aggregation of a large industry ecosystem and enables joint innovation of industry applications.
HUAWEI CLOUD Stack provides a unified provincial (city-wide) cloud solution for governments, helping them digitize government services by leveraging a unified cloud platform, shifting their focus from resource and data consolidation to e-Government application innovation and operations.
Connects discrete data centers into one cloud to allow for coordinated planning, deployment, and sharing of IT infrastructure between different departments.
Uses cutting-edge technologies including cloud computing, big data, and AI to help customers build an open ecosystem that drives e-Government application innovation.
One cloud with multiple pools, hybrid scheduling of x86+Kunpeng computing power, seamless evolution of application systems, enhanced business continuity with dual computing planes.