Forum Discussion
Fabric Capacity
Hello!
I need to determine the right capacity for our company. We are alsmost done with the trial and need to make a decision fast. We intend to use for other reasons it has to offer but especially the Machine learning part of it. Should i choose the F64 SKU billed hourly and switched off when not in use?
2 Replies
- AnonymousNot applicable
Hi Anonymous ,
The optimal capacity for a company may be influenced by a number of variables, including the number of concurrent users, the size of the model, the complexity of the machine learning model, and the anticipated frequency of service usage.
If you are considering an hourly billing model and planning to disable the service when not in use, it is important to evaluate your usage patterns carefully. Please note that even when the service is not in use, data refreshes and scheduled reports will require it to be active.
Currently, users can experience all the features Fabric has to offer by simply signing up for a free trial. Each registered user is allotted a fixed amount of Fabric trial capacity, which can be utilized for any feature or capability, including data integration and machine learning model creation.
Once you’ve enabled your trial, you can access the latest version of Capacity Metrics experience in Fabric.
Microsoft Fabric Capacity Metrics
Understand the metrics app compute page - Microsoft Fabric | Microsoft Learn
In conclusion, the F64 SKU could be a good choice if your datasets are not too large and your usage of the service is not constant. However, I would recommend conducting a thorough analysis of your specific needs and usage patterns before making a final decision. You might also want to consider reaching out to a Microsoft Azure sales specialist for more personalized advice.
Microsoft Fabric - Pricing | Microsoft AzureBest Regards,
Gao
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- parry2kSuper User
Anonymous I just read your answer and it is not at all useful. Based on Anonymous questions he already has done all the trial etc. You are answering from the sales perspective but not from a technical perspective. You should ask what is the use case, and all the related questions.
Also not sure how the number of users will have an impact. Your reply doesn't make any sense to make a decision. Just my 2 cents.