gpu-operator VS metagpu

Compare gpu-operator vs metagpu and see what are their differences.

gpu-operator

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes (by NVIDIA)
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gpu-operator metagpu
3 1
1,182 90
4.4% -
9.4 0.0
8 days ago about 1 year ago
Go Go
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gpu-operator

Posts with mentions or reviews of gpu-operator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-12.

metagpu

Posts with mentions or reviews of metagpu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-07.

What are some alternatives?

When comparing gpu-operator and metagpu you can also consider the following projects:

nos - Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!

nvshare - Practical GPU Sharing Without Memory Size Constraints

nvitop - An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

kaito - Kubernetes AI Toolchain Operator

k8s-device-plugin - NVIDIA device plugin for Kubernetes