Elastic Compute Service
Benefit | Description |
Flexibility | ML disks have a minimum capacity of 10 GiB and allow you to quickly create and delete resources for flexible management. |
Ultra-high performance | A single ML disk can support up to 100 ECS instances or container pods simultaneously, delivering GB/s-level aggregated throughput. This feature meets the demands of high-throughput scenarios, such as model training and image distribution. |
Cost optimization | Data is stored once and is accessible globally — you only pay for storage once. You are billed for throughput performance on a pay-as-you-go basis, so there is no need for upfront provisioning. |
Attribute | Performance |
Maximum read throughput per volume (MB/s) |
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Average latency of single-path random writes (block size = 4K) | Sub-millisecond. |
Maximum capacity per volume (GiB) | The capacity depends on the size of the source snapshot.
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Maximum number of instances to which a volume can be attached | 100. |
API name | ML_Disk |
Category | Notes |
Instance type | You can attach ML disks to the following instance types: Heterogeneous Computing: hpcpni3ln. |
Attachment | You can attach an ML disk to up to 50 instances at a time. |
Unsupported operations | ML disks do not support the following operations:
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Constraints | ML disks only support read-only access. Writes are not allowed. |
Billable item | Formula | Billing method | Unit price | Description |
Volume capacity | Cost = Unit price × Provisioned storage capacity × Usage time | Pay-as-you-go | ¥0.0021/GiB/hour | You are charged for capacity usage once you create an ML disk. For example, using a 100 GiB ML disk for two hours incurs a capacity cost of ¥0.42 (0.0021 × 100 × 2). |
Throughput | Throughput cost for a given hour = Average throughput per second within the hour (MB/s) × Unit price | Pay-as-you-go | ¥0.056/MBps/hour | The cost of throughput is based on your actual usage. For example, if the average throughput per second for a given hour is 50 MB/s, the cost for that hour would be ¥2.8 (1 × 50 × 0.056). |