Support Matrix for NVIDIA NIM for Object Detection#
This documentation describes the models, software, and hardware that NVIDIA NIM for Object Detection supports.
Models#
Object Detection NIM supports the following models.
Model Name |
Model ID |
Model Card |
Demo / Explore |
|---|---|---|---|
Nemotron Page Elements v3 |
|
||
Nemotron Table Structure v1 |
|
For the approximate GPU memory size of each GPU, refer to Performance and Memory for NVIDIA NIM for Object Detection.
For details about model profiles and kernel selection, refer to Model Profiles and Kernel Selection.
Software#
NVIDIA Driver: Ensure that the latest compatible NVIDIA driver is installed on your system before launching NIM containers. If you experience issues starting the containers, verify that your driver is up to date.
NVIDIA Container Toolkit: Your Docker environment must support NVIDIA GPUs. For more information, refer to NVIDIA Container Toolkit.
CPUs#
Release 2.0 supports amd64 and arm64 container architectures. The host CPU architecture must match the container architecture. For a list of supported systems, refer to the NVIDIA Certified Systems Catalog.
Nemotron Page Elements v3#
The following table contains the supported GPUs and precisions for Nemotron Page Elements v3.
GPU |
Precision |
|---|---|
FP16 |
|
FP16 |
|
FP16 |
|
NVIDIA GB10 Grace Blackwell Superchip, such as NVIDIA DGX Spark systems |
FP16 |
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
Nemotron Table Structure v1#
The following table contains the supported GPUs and precisions for Nemotron Table Structure v1.
GPU |
Precision |
|---|---|
FP16 |
|
FP16 |
|
FP16 |
|
NVIDIA GB10 Grace Blackwell Superchip, such as NVIDIA DGX Spark systems |
FP16 |
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |
|
FP16 |