metagpu VS gpu-operator

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

gpu-operator

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes (by NVIDIA)
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metagpu gpu-operator
1 3
87 1,166
- 7.6%
0.0 9.4
12 months ago 1 day ago
Go Go
MIT License Apache License 2.0
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.

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.

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.

What are some alternatives?

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

nvshare - Practical GPU Sharing Without Memory Size Constraints

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!

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

k8s-device-plugin - NVIDIA device plugin for Kubernetes