Standard GAA1
StandardGAA1 is not only suitable for GPU general computing scenarios such as deep learning, but also for graphics and image processing (3D rendering, video encoding, and decoding) scenarios.
Applicable Cases
High cost-effectiveness, suitable for the following scenarios:
- Reasoning scenarios and small-scale training scenarios for deep learning. For example:
- AI reasoning for large-scale deployment
- Small-scale training for deep learning
- Graphics and image processing scenario. For example:
- Graphics and image processing
- Video encoding and decoding
- Graphic databases
Hardware Specifications
- CPU: 2.45GHz AMD EPYCTM Milan processor
- GPU: NVIDIA® A10(62.5 TFLOPS single-precision floating-point calculation, 250 INT8 TOPS, 500 INT4 TOPS).
- Storage: You can select Cloud Block Storage Type. If you need to scale out, you can create a new elastic cloud storage and mount it.
GAA1 instance provides the following configurations:
| Model | GPU (NVIDIA A10) |
GPU Memory (GDDR6) |
vCPU | Memory Optimized (DDR4) |
|---|---|---|---|---|
| GAA1.8 XLARGE56 |
1 | 1 x 24 GB | 32 cores | 56 GB |
| GAA1.16 XLARGE112 |
2 | 2 x 24 GB | 64 cores | 112 GB |
| GAA1.32 XLARGE224 |
4 | 4 x 24 GB | 128 cores | 224 GB |