Fine tuning GPU options
Finetune jobs can be run with different GPUs- affecting speed, price and quality.
Sample Comparison
Overview:
In this exercise, we compare the performance and cost-effectiveness of three different model training pipelines: A100 (Balanced), H100 (Fast), and L40S (Low Cost). The training was conducted using the following parameters:
Dataset: 10MB zip file
Steps: 500
Comparison Table:
Pipeline Name
Characteristics
Charge Rate (/s)
# of Seconds
Total Cost
A100
Balanced
$0.002
1868.67
$3.74
H100
Fast
$0.0043
1085.85
$4.67
L40S
Low Cost
$0.0014
2532.14
$3.54
Insights:
A100 (Balanced):
Offers a balanced performance with moderate cost and time.
Suitable for scenarios where a trade-off between speed and cost is acceptable.
H100 (Fast):
Significantly faster but at a higher charge rate.
Ideal for time-sensitive tasks where speed is prioritized over cost.
L40S (Low Cost):
Lowest cost option but takes the longest time to complete.
Best suited for non-urgent tasks where cost efficiency is more important.
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