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V100 server on-prem vs AWS p3 instance cost comparison

Blog post from Lambda

Post Details
Company
Date Published
Author
Chuan Li
Word Count
1,170
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

The text compares the cost of buying vs. renting a cloud GPU server, specifically focusing on Deep Learning workloads. A server with similar hardware to AWS's p3dn.24xlarge is selected for comparison, which is a Tesla V100 Server from Lambda Hyperplane. The study finds that the purchased Tesla V100 Server is 2.6% faster than the AWS p3dn.24xlarge for FP32 training and 3.2% faster for FP16 training. Additionally, the TCO (Total Cost of Ownership) analysis shows that the Hyperplane on-prem server has a lower total cost compared to the p3dn.24xlarge over a 3-year period, with savings ranging from $69,441 to $184,008. The study highlights the benefits of managing software and hardware in-house, as well as the reduced costs associated with purchasing a server upfront versus renting it on AWS. The results also suggest that while cloud services offer ease of use for real-time applications, Deep Learning workloads may not benefit from these advantages.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Serverless 13 290 51 21 +43%
Real-time 1 370 104 48 -17%
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