DL2Q Accelerated Computing
⚡ GPU AcceleratedHardware accelerators (GPUs, FPGAs) for specialized compute.
Name:
dlDeep Learning Acceleratorsdl = Deep Learning AcceleratorsCustom silicon accelerators (Habana Gaudi, Qualcomm AI) optimized specifically for deep learning training and inference cost efficiency.22nd Generation2 = 2nd GenerationAWS 2nd generation hardware platform with updated CPU/system architecture.qQualcomm Cloud AIq = Qualcomm Cloud AIIntel Xeon Platinum 8259 (Cascade Lake) (x86_64). Powered by Qualcomm Cloud AI 100 inference accelerators for high-density neural network execution.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (1)
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| dl2q.24xlarge | 96 | 768.0 GiB | 8x | 128.0 GB | Standard | x86_64 | $8.9194 |