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What is IBM Power Virtual Server?

Easily manage and migrate workloads between cloud environments and local infrastructures. The IBM Power® Virtual Server features a set of flexible multi-tenant virtual IBM Power servers that seamlessly integrate with IBM Cloud® offerings. Enhance your hybrid cloud strategy with IBM Power Virtual Server, which allows you to maintain the renowned security and performance of IBM Power while scaling according to your budget and pace, whether on-premises or in the cloud. Discover the benefits of a hybrid cloud setup with a consistent interface and effortless connectivity to your Power systems. Maintain continuous business operations through reliable failover solutions that include backup, high availability, and disaster recovery alternatives. Furthermore, simplify your investment strategy, reduce planning difficulties, and improve capacity management for greater operational efficiency while ensuring your business is prepared for any unforeseen challenges.

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

Cloudbrink
Evoltsoft
Flywheel
Galileo
Google Cloud Composer
Google Cloud Platform
Google Cloud TPU
Google Cloud VMware Engine
IBM Db2
IBM Watson
JOpt.TourOptimizer
Knovos Discovery
Nuon
Pangiam Project DARTMOUTH
Rayven
SAP HANA
Simplifier
Syntho
Vertex AI
Voxel51

Integrations Supported

Cloudbrink
Evoltsoft
Flywheel
Galileo
Google Cloud Composer
Google Cloud Platform
Google Cloud TPU
Google Cloud VMware Engine
IBM Db2
IBM Watson
JOpt.TourOptimizer
Knovos Discovery
Nuon
Pangiam Project DARTMOUTH
Rayven
SAP HANA
Simplifier
Syntho
Vertex AI
Voxel51

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/power-virtual-server

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-infrastructure

Categories and Features

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

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