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Announcement on Flexible Discounts for Spot Instances in Some Regions
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Last updated: 2024-06-27 16:41:00
Announcement on Flexible Discounts for Spot Instances in Some Regions
Last updated: 2024-06-27 16:41:00
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Starting from June 21, 2024, the prices of spot instances in some regions will undergo elastic changes. The new prices for spot instances after adjustment are shown in the table below:
Region
Model
Discount
Beijing
S5, S6, SA2, SA4, SA5, M5, M6, MA3, MA5
Approximately 3%-8% of pay-as-you-go prices
Shanghai
S5, S6, SA3, SA5, M5, MA3, MA5
Guangzhou
S5, SA2, SA3, MA5
Nanjing
SA2, SA3, MA3
Singapore
S5, SA2, SA5
Bangkok
S5
Sao Paulo
S5, M5
Seoul
C3, S5
Approximately 20% of pay-as-you-go prices
Tokyo
M5, S5, C4
Singapore
M2, M3, M5, C4
Silicon Valley
S5
Frankfurt
S3, S5

Adjustment Details

The new prices are only effective for new instance purchases; existing spot instances under the current account will still be charged at the prices before the adjustment.
Discount adjustments only apply to CPU and memory fees, excluding network and disk fees.
Note:
Spot instances have a dynamic price that fluctuates with market supply and demand. Please refer to the real-time price when placing an order.
In the future, the price of spot instances will continue to fluctuate with changes in market supply and demand, which is normal.

Purchase Method

New Instance Purchase

1. 1. Log in to the Cloud Virtual Machine purchase page.
2. 2. Select spot instance for billing mode, choose the required region, and create an instance.
Note:
For detailed purchase instructions, please refer to Purchasing Channels.

Explanatory Notes

Spot instance is a billing mode where its price fluctuates with market supply and demand. Its core features are discounted sales and a system interruption mechanism, meaning that instances are purchased at a discount (compared with pay-as-you-go), but the system may automatically reclaim the instances. For more information about spot instances, please refer to Spot Instance.
Spot instances have no difference in performance and stability compared with monthly subscription and pay-as-you-go instances.
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