中文版
Description
Unleashing AI for every business
Artificial intelligence (AI) is transforming every industry, whether through improvements
Customer relationships in financial services, streamlining manufacturers’ supply chains,
Or help doctors provide better outcomes for patients. IDC predicts that by 2024,
60% of G2000 will expand the use of artificial intelligence and machine learning (ML)
Key business level functions, including marketing, legal, human resources, procurement and
Supply chain logistics.
However, while organizations know they need to invest in AI to secure their future, many do
Try to find strategies and platforms that will succeed. traditional
Enterprise applications, AI applications are relatively new to enterprise IT departments.
They are locked into fast-moving, open source, cutting-edge code, and lack validation
Methods to meet the stringent requirements of a large-scale enterprise production setup.
AI-Ready platform from NVIDIA and Red Hat
GH200
NVIDIA and Red Hat are working together to enable customers to run their businesses
Use familiar infrastructure across many footprints – from virtualization and private clouds
From enterprise data center deployments to large-scale public service deployments
Clouds – all the way to the edge.
Combined, the NVIDIA AI Enterprise software suite runs NVIDIA certified
Systems™ and Red Hat®OpenShift®, the industry’s leading Kubernetes-powered hybrid system
Cloud solutions that provide a scalable platform to help accelerate the use of various kinds of AI
Use cases. Enterprises can accelerate Deep Learning (DL) and Machine Learning (ML) in every industry
Health care, financial services, manufacturing. NVIDIA AI Enterprise with Red Hat
OpenShift also offers unmatched flexibility, providing organizations with the following options
Deploy in bare metal and virtualized environments – both on-premises and on-premises
The public cloud.
Solution Overview
Major challenge
> Deployment Complexity
And scalability. Purchase and
Operating artificial intelligence infrastructure
It takes months because of the complexity
Design, deploy and
Expansion of end-to-end solutions.
Lack of self-service access to AI tools
And infrastructure. Get their jobs
Data scientist, machine learning engineer,
Developers have a constant
Ai development depends on IT
Tools and computing resources.
> Isolated operation. Manual, isolation
Cross-team operations (data
Scientists, developers, etc.) results
Modeling and intelligence in slow ML
Application development.
advantage
> Easy to deploy and scale.
Utilize the joint certification of NVIDIA and
Deploy and manage Red Hat solutions
AI workloads in containers or virtual machines
Optimize the software.
> Accelerate compute-intensive machine learning
Modeling and inference work.
Maximize ML performance
Modeling and reasoning.
> Intelligent streamlined delivery
Integrated mlop application.
Support for cross-team collaboration, hence ML
Models can be quickly integrated into
Intelligent application development
And deploy to a production environment.
Please contact Sunny sales@xiongbagk.cn for the best price.
➱ sales manager: Sunny
➱ email mailto: sales@xiongbagk.cn
➱ Skype/WeChat: 18059884797
➱ phone/Whatsapp: + 86 18059884797
➱ QQ: 3095989363
➱ Website:www.sauldcs.com
