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What is IBM Cloud SAP?

Transform your SAP operations by transitioning to a powerful enterprise cloud platform that is engineered for peak performance. Leverage state-of-the-art infrastructure and customized solutions that bolster your IT ecosystem. A variety of IBM Business Partners are equipped with the skills necessary to manage SAP workloads adeptly through both Platform as a Service (PaaS) options and a comprehensive suite of SAP-certified Infrastructure as a Service (IaaS) solutions available on IBM Cloud, all underpinned by specialized expertise. Make the most of IBM Cloud to meet your business's pressing needs, which could involve moving away from conventional data centers that host SAP on VMware or embarking on a worldwide rollout of SAP S/4HANA utilizing IBM Power Systems Virtual Servers. Our objective is to offer you a range of avenues to commence your cloud migration, thereby positioning your organization for continual evolution. With nearly fifty years of experience in SAP solutions, IBM is recognized as a Global Platinum partner and is celebrated as one of the most respected SAP collaborators in the sector. According to IDC, IBM Cloud is listed among the top three trusted providers for SAP workloads, reflecting its dependability and leadership in the industry. By adopting IBM's solutions, your organization can greatly improve its adaptability and operational efficiency in an increasingly competitive environment. Moreover, as cloud technology continues to develop, investing in these solutions now will prepare your business for future advancements.

What is Google Cloud AI Infrastructure?

Today, companies have a wide array of choices for training their deep learning and machine learning models in a cost-effective manner. AI accelerators are designed to address multiple use cases, offering solutions that vary from budget-friendly inference to comprehensive training options. Initiating the process is made easy with a multitude of services aimed at supporting both development and deployment stages. Custom ASICs known as Tensor Processing Units (TPUs) are crafted specifically to optimize the training and execution of deep neural networks, leading to enhanced performance. With these advanced tools, businesses can create and deploy more sophisticated and accurate models while keeping expenditures low, resulting in quicker processing times and improved scalability. A broad assortment of NVIDIA GPUs is also available, enabling economical inference or boosting training capabilities, whether by scaling vertically or horizontally. Moreover, employing RAPIDS and Spark in conjunction with GPUs allows users to perform deep learning tasks with exceptional efficiency. Google Cloud provides the ability to run GPU workloads, complemented by high-quality storage, networking, and data analytics technologies that elevate overall performance. Additionally, users can take advantage of CPU platforms upon launching a VM instance on Compute Engine, featuring a range of Intel and AMD processors tailored for various computational demands. This holistic strategy not only empowers organizations to tap into the full potential of artificial intelligence but also ensures effective cost management, making it easier for them to stay competitive in the rapidly evolving tech landscape. As a result, companies can confidently navigate their AI journeys while maximizing resources and innovation.

Media

Media

Integrations Supported

Azumuta
Geo Rep
Level 6
My DSO Manager
RadiantOne
Sharecat
Solid
VKS
Visuant
WinBill

Integrations Supported

Cloudbrink
Galileo
Gemini Enterprise Agent Platform
Google Cloud Managed Service for Apache Airflow
Google Cloud TPU
MultiTV
PromptX
SusTern AI-Commerce
Syntho
UMH

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/sap

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-infrastructure

Categories and Features

DevOps

Not specified

Categories and Features

AI Development

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

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