- Overview
- Getting Started Guide
- UserGuide
-
References
-
ABEJA Platform CLI
- CONFIG COMMAND
- DATALAKE COMMAND
- DATASET COMMAND
- TRAINING COMMAND
-
MODEL COMMAND
- check-endpoint-image
- check-endpoint-json
- create-deployment
- create-endpoint
- create-model
- create-service
- create-trigger
- create-version
- delete-deployment
- delete-endpoint
- delete-model
- delete-service
- delete-version
- describe-deployments
- describe-endpoints
- describe-models
- describe-service-logs
- describe-services
- describe-versions
- download-versions
- run-local
- run-local-server
- start-service
- stop-service
- submit-run
- update-endpoint
- startapp command
-
ABEJA Platform CLI
- FAQ
- Appendix
Instance Type
Introduction
You can specify the instance types for Notebook / Training job / HTTP Services. There are two types of instance types, CPU/GPU.
Not all instance types can be used in Notebook / Training job / HTTP Services, and the instance types that can be selected are different.
Instance type of CPU
| name | cpu | memory (MB) 1 |
|---|---|---|
| cpu-0.25 | 0.25 | 1,024 |
| cpu-1 | 1 | 4,096 |
| cpu-2 | 2 | 8,192 |
| cpu-4 | 4 | 16,384 |
| cpu-8 | 8 | 32,768 |
Instance type of GPU
| name | cpu | memory (MB) 1 | gpu | gpu model |
|---|---|---|---|---|
| gpu-1 | 4 | 61,000 | 1 | NVIDIA TESLA T4 |
| gpu:a-1 | 4 | 61,000 | 1 | NVIDIA TESLA T4 |
| gpu:b-1 | 8 | 61,000 | 1 | NVIDIA TESLA V100 |
| gpu:b-4 | 32 | 244,000 | 4 | NVIDIA TESLA V100 |
| gpu:b-8 | 64 | 488,000 | 8 | NVIDIA TESLA V100 |
- This value is for reference only, and may actually be less than the listed value. [return]