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Compare Alibaba Elastic GPU Service and Azure Virtual Machines 
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At a Glance
Market Segments
Enterprise (76.9% of reviews)
Enterprise (34.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Alibaba Elastic GPU Service
Star Rating
(15)4.3 out of 5
Market Segments
Enterprise (76.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Alibaba Elastic GPU ServiceAzure Virtual Machines
Star Rating
(385)4.4 out of 5
Market Segments
Enterprise (34.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Virtual MachinesSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Virtual Machines excels in scalability with a score of 8.6, allowing businesses to easily adjust resources based on demand, while Alibaba Elastic GPU Service does not provide a specific scalability score, which may limit flexibility for growing enterprises.
- Reviewers mention that Azure Virtual Machines offers robust data recovery options, scoring 9.0, which is crucial for businesses that prioritize data integrity, whereas Alibaba Elastic GPU Service lacks detailed user feedback on data recovery capabilities.
- G2 users highlight Azure's strong security features, scoring 9.3, with advanced security protocols that protect sensitive data, while Alibaba Elastic GPU Service has a slightly lower security score of 8.4, indicating potential concerns for users focused on data protection.
- Users on G2 appreciate Azure's resource auto-scaling feature, scoring 8.9, which automatically adjusts resources based on workload, whereas Alibaba Elastic GPU Service does not have a comparable feature highlighted in user reviews, potentially leading to inefficiencies.
- Reviewers say that Azure Virtual Machines provides excellent OS integration with a score of 8.8, making it easier for users to deploy applications across different operating systems, while Alibaba Elastic GPU Service does not receive similar praise for OS compatibility.
- Users report that Azure's performance management tools, scoring 8.8, allow for detailed tracking and optimization of resources, while Alibaba Elastic GPU Service lacks comprehensive performance tracking features, which may hinder users' ability to monitor and enhance their workloads effectively.
Pricing
Entry-Level Pricing
Alibaba Elastic GPU Service
No pricing availableAzure Virtual Machines
No pricing availableFree Trial
Alibaba Elastic GPU Service
No trial information availableAzure Virtual Machines
No trial information availableRatings
Meets Requirements
8.7
14
9.0
332
Ease of Use
8.8
14
8.6
332
Ease of Setup
Not enough data
8.6
198
Ease of Admin
Not enough data
8.6
190
Quality of Support
8.3
14
8.3
320
Has the product been a good partner in doing business?
Not enough data
8.9
182
Product Direction (% positive)
10.0
14
9.2
320
Features by Category
Infrastructure Provision
Not enough data
9.0
60
Not enough data
8.6
55
Not enough data
9.0
52
Not enough data
7.2
48
Not enough data
8.3
53
Not enough data
9.3
58
Not enough data
8.5
48
Not enough data
9.1
56
Management
Not enough data
8.9
55
Not enough data
8.9
53
Not enough data
8.7
54
Functionality
Not enough data
8.8
53
Performance
Not enough data
8.4
25
Not enough data
8.3
25
Not enough data
9.0
26
Functionality
Not enough data
8.9
29
Not enough data
8.5
28
Not enough data
8.7
28
Not enough data
9.3
29
Agentic AI - Server Virtualization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Alibaba Elastic GPU Service and Azure Virtual Machines are categorized as Infrastructure as a Service (IaaS)
Unique Categories
Alibaba Elastic GPU Service has no unique categories
Azure Virtual Machines is categorized as Server Virtualization
Reviews
Reviewers' Company Size
Alibaba Elastic GPU Service
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Virtual Machines
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
76.9%
Newspapers
15.4%
Logistics and Supply Chain
7.7%
‐
‐
Other
0.0%
Information Technology and Services
29.8%
Computer Software
18.2%
Computer & Network Security
7.3%
Accounting
4.3%
Information Services
2.4%
Other
37.9%
Alternatives
Discussions
Alibaba Elastic GPU Service has no discussions with answers
What are Azure virtual machines used for?
2 Comments
RL
Some use cases:
Application Hosting, Development and Testing, Data Processing and Analytics, Disaster Recovery, High-Performance Computing (HPC), Hybrid...Read more
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