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GPU support

The OCR SDK supports computation acceleration based on NVIDIA GPUs. To use the GPU smoothly, the following specifications and settings must be met.

Note: As of August 2025, the Windows version does not support GPUs.

CUDA and driver requirements​

  • CUDA version: 11.6.x or later
  • NVIDIA driver version:
    Linux (x86_64): 450.80.02 or later

Supported architectures​

The OCR SDK supports the following NVIDIA GPU architectures.

  • Maxwell
  • Pascal
  • Volta
  • Turing
  • Ampere
  • Ada
  • Hopper
  • Blackwell
  • Rubin

Note: You can check your GPU architecture based on the manufacturer or model name.

How to check compute capabilities​

Use the following command to check whether the GPU in your system is suitable for using the OCR SDK.

nvidia-smi --query-gpu=compute_cap format=csv

Supported graphics cards​

NVIDIA Architecture Name Maxwell Pascal Volta Turing Ampere Ada Hopper Blackwell Rubin
Compute Capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_89 sm_90 sm_100 sm_110?
sm_52 sm_61 sm_72 (Xavier) sm_86 sm_90a (Thor) sm_100a
sm_53 sm_62 sm_87 (Orin)
Available
Available (check version)
Contact us if usage is abnormal
Not available

Maxwell

  • SM52 or SM_52, compute_52 – Quadro M6000 , GeForce 900, GTX-970, GTX-980, GTX Titan X
  • SM53 or SM_53, compute_53 – Tegra (Jetson) TX1 / Tegra X1, Drive CX, Drive PX, Jetson Nano

Pascal

  • SM60 or SM_60, compute_60 – Quadro GP100, Tesla P100, DGX-1 (Generic Pascal)
  • SM61 or SM_61, compute_61 – GTX 1080, GTX 1070, GTX 1060, GTX 1050, GTX 1030 (GP108), GT 1010 (GP108) Titan Xp, Tesla P40, Tesla P4, NVIDIA Drive PX2 discrete GPU
  • SM62 or SM_62, compute_62 – NVIDIA Drive PX2 integrated GPU, Tegra (Jetson) TX2

Volta

  • SM70 or SM_70, compute_70 – DGX-1 with Volta, Tesla V100, GTX 1180 (GV104), Titan V, Quadro GV100
  • SM72 or SM_72, compute_72 – Jetson AGX Xavier, Drive AGX Pegasus, Xavier NX

Turing

  • SM75 or SM_75, compute_75 – GTX/RTX Turing – GTX 1660 Ti, RTX 2060, RTX 2070, RTX 2080, Titan RTX, Quadro RTX 4000, Quadro RTX 5000, Quadro RTX 6000, Quadro RTX 8000, Quadro T1000/T2000, Tesla T4

Ampere

  • SM80 or SM_80, compute_80 – NVIDIA A100 ("Tesla" naming removed – GA100), NVIDIA DGX-A100
  • SM86 or SM_86, compute_86 – (Since CUDA 11.1) Tesla GA10x GPUs, RTX Ampere – RTX 3080, GA102 – RTX 3090, RTX A2000, A3000, RTX A4000, A5000, A6000, NVIDIA A40, GA106 – RTX 3060, GA104 – RTX 3070, GA107 – RTX 3050, RTX A10, RTX A16, RTX A40, A2 Tensor Core GPU, A800 40GB

Ada Lovelace

  • SM89 or SM_89, compute_89 – NVIDIA GeForce RTX 4090, RTX 4080, RTX 6000 Ada, Tesla L40, L40s Ada, L4 Ada

Notes

  • For GPUs not listed, please contact us after testing.
  • For CUDA 12.x or later, please contact us after testing.