DL2Q Accelerated Computing

⚡ GPU Accelerated

Hardware 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)

With a 3-year Compute Savings Plan (No Upfront), dl2q sizes on Linux in EU (Frankfurt) (eu-central-1) cost 46% less than the on-demand rate. Each size's page has the rates in every region. How Savings Plans are applied.

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
dl2q.24xlarge96768 GB8x128.0 GBStandardx86_64$8.9194