kubeflow
mpi-operator
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kubeflow | mpi-operator | |
---|---|---|
3 | 1 | |
13,658 | 395 | |
1.5% | 1.8% | |
8.5 | 7.3 | |
6 days ago | 7 days ago | |
TypeScript | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
kubeflow
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Is it possible to store the username in a config file inside the jupyter notebook spawned by kubeflow?
I'm not 100% sure this will work but sounds like PodDefault is what you need.
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Machine Learning Orchestration on Kubernetes using Kubeflow
If you are looking for bringing agility, improved management with enterprise-grade features such as RBAC, multi-tenancy and isolation, security, auditability, collaboration for the machine learning operations in your organization, Kubeflow is an excellent option. It is stable, mature and curated with best-in-class tools and framework which can be deployed in any Kubernetes distribution. See Kubeflow roadmap here to look into what's coming in the next version.
- Jupyter notebooks in kubeflow
mpi-operator
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Scaling Kubernetes to 7,500 Nodes
Hi, kube-scheduler maintainer here, currently looking into enabling MPI use cases in k8s.
We started a discussion in https://github.com/kubeflow/mpi-operator/issues/315
What are some alternatives?
kserve - Standardized Serverless ML Inference Platform on Kubernetes
kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
sarus - OCI-compatible engine to deploy Linux containers on HPC environments.
pipelines - Machine Learning Pipelines for Kubeflow
optimism-v2 - ARCHIVE of monorepo implementing Boba, an L2 Compute solution built on Optimistic Ethereum - active repo is at https://github.com/bobanetwork/boba