Cloud H100 provider
Cloud H100 providers supply NVIDIA's H100 processors over the cloud so buyers can use these processors for AI inference or training without buying and storing them. +Show More
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
Oracle Cloud Infrastructure (OCI) |
Leader
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Satisfactory
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Offers computing infrastructure and software for organizations to build and run a wide range of applications.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
9m-10m followers
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Scaleway |
Leader
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Satisfactory
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The cloud of choice. Build, deploy and scale applications on Europe's most complete cloud ecosystem. From Serverless architecture to Elastic Metal and everything in between. The platform also offers lineup of NVIDIA GPUs, involving P100, H100, L4 and more.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
400-1k employees
Company's social media followers
20k-30k followers
# of funding rounds
1
Latest funding date
January 8, 2014
Company
Type of company
private
Founding year
1999
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Gcore AI GPU Cloud Infrastructure |
Leader
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Satisfactory
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Gcore offers bare metal servers and virtual machines are equipped with NVIDIA A100 and H100 GPUs.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
400-1k employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
2014
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Latitude.sh |
Leader
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Satisfactory
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Cloud platform built for developers. Manage your bare metal GPU instances with the cloud native tools you already use.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2001
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Cudo Compute |
Leader
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N/A
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Cudo Compute offers reservation or rental of a range of cloud-based GPUs including H100 and A100.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
10-20 employees
Company's social media followers
400-1k followers
Company
Type of company
private
Founding year
2021
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Coreweave Cloud |
Challenger
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N/A
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Coreweave Cloud is an NVIDIA Elite Cloud Solutions Provider focused on providing cloud GPUs.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
400-1k employees
Company's social media followers
20k-30k followers
Total funding
$12118500000
# of funding rounds
10
Latest funding date
May 17, 2024
Last funding amount
$5-10bn
Company
Type of company
private
Founding year
2017
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Lambda Cloud |
Challenger
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N/A
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Lambda Cloud offers companies and data scientists cloud GPU and colocation services.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
400-1k employees
Company's social media followers
10k-20k followers
Total funding
$1-1bn
# of funding rounds
9
Latest funding date
April 4, 2024
Last funding amount
$1-1bn
Company
Type of company
private
Founding year
2012
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Cirrascale Cloud Services |
Challenger
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N/A
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Cirrascale Cloud Services provides public and private dedicated, GPU & IPU cloud solutions for deep learning.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
30-40 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
2017
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Unweave |
Challenger
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N/A
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Unweave is an open-source platform designed for machine learning development environments, allowing SSH access to GPU machines such as A100, H100 across various cloud providers.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
1-5 employees
Company's social media followers
200-300 followers
Company
Type of company
private
Founding year
2021
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in cloud h100 providers:
Cloud H100 provider Leaders
According to the weighted combination of 4 metrics
What are cloud h100 provider
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current cloud h100 provider customer satisfaction leaders:
Which cloud h100 provider solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are cloud h100 provider
market leaders?
Taking into account the latest metrics outlined below, these are the current cloud h100 provider market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature cloud h100 providers?
Which one has the most employees?
Which cloud h100 provider companies have the most employees?
444 employees work for a typical company in this solution category which is 421 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 8 companies with >10 employees are offering cloud h100 providers. Top 3 products are developed by companies with a total of 100k employees. The largest company in this domain is DataScience with more than 100,000 employees. DataScience provides the cloud h100 provider solution: Oracle Cloud Infrastructure (OCI)
Insights
What are the most common words describing cloud h100 providers?
This data is collected from customer reviews for all cloud h100 provider companies. The most positive word describing cloud h100 providers is “Easy to use” that is used in 2% of the reviews. The most negative one is “Difficult” with which is used in 1% of all the cloud h100 provider reviews.
What is the average customer size?
According to customer reviews, most common company size for cloud h100 provider customers is 1-50 Employees. Customers with 1-50 Employees make up 78% of cloud h100 provider customers. For an average Cloud solution, customers with 1-50 Employees make up 18% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all cloud h100 providers. Cloud H100 providers are most positively evaluated in terms of "Value For Money" but falls behind in "Customer Service".
Where are cloud h100 provider vendors' HQs located?
Trends
What is the level of interest in cloud h100 providers?
This category was searched on average for 0 times per month on search engines in 2024. This number is still 0 in 2025. If we compare with other cloud solutions, a typical solution was searched 445 times in 2024 and this decreased to 0 in 2025.
Learn more about Cloud H100 providers
Cloud H100 refers to cloud-based services that provide access to NVIDIA's H100 processors. These services allow users to leverage the power of H100 GPUs for AI training and inference tasks without the need to purchase and maintain the physical hardware.
The types of Cloud H100 available can vary based on the configuration offered by cloud service providers. These can include different memory sizes, CPU combinations, and networking capabilities, tailored to various computational needs and workload sizes.
Using Cloud H100 offers significant benefits such as:
- Cost savings on hardware investment
- Scalability to adjust to workload demands
- Access to GPU technology for advanced AI tasks.
It also eliminates the need for physical maintenance and provides flexibility in managing computational resources.
Common use cases for Cloud H100 include:
- Deep learning and AI model training
- Large-scale machine learning projects
- Complex data analysis
- High-performance computing tasks.
Industries like healthcare, finance, automotive, and scientific research find Cloud H100 particularly useful for its processing power and efficiency.