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G4AD Accelerated Computing

⚡ GPU Accelerated

Hardware accelerators (GPUs, FPGAs) for specialized compute.

Name:gGPU Graphics & ML Inferenceg = GPU Graphics & ML InferencePowered by GPUs (NVIDIA/AMD) for graphics-intensive applications, video encoding, remote workstations, and machine learning inference.44th Generation4 = 4th GenerationAWS 4th generation hardware platform with updated CPU/system architecture.aAMD EPYCa = AMD EPYCAMD EPYC 7R32 (x86_64). Powered by AMD EPYC x86_64 processors, delivering high core counts and cost-effective compute performance.dDirect-Attached NVMe SSDd = Direct-Attached NVMe SSDEquipped with physical high-speed NVMe SSD instance store volumes attached locally to the host server for temporary scratch and caching.

Common use cases

  • Machine learning training/inference
  • High-performance computing
  • Graphics rendering

Instance types (5)

InstancevCPUMemoryGPU CountGPU MemoryMemory TypeArchitectureFrom (Linux, $/hr)
g4ad.xlarge416.0 GiB1x8.0 GBStandardx86_64$0.3785
g4ad.2xlarge832.0 GiB1x8.0 GBStandardx86_64$0.5412
g4ad.4xlarge1664.0 GiB1x8.0 GBStandardx86_64$0.8670
g4ad.8xlarge32128.0 GiB2x16.0 GBStandardx86_64$1.7340
g4ad.16xlarge64256.0 GiB4x32.0 GBStandardx86_64$3.4680