aub.ai
autoscaler
aub.ai | autoscaler | |
---|---|---|
5 | 89 | |
148 | 7,652 | |
- | 0.8% | |
7.5 | 9.7 | |
14 days ago | about 22 hours ago | |
Dart | Go | |
GNU Affero General Public License v3.0 | 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.
aub.ai
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Ferret: An End-to-End MLLM by Apple
https://github.com/BrutalCoding/aub.ai
For any of your Apple devices, use this:
- My open-source & cross-platform on-device LLMs app is now available on TestFlight & GitHub. Feedback & testers welcome.
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Introducing Gemini: our largest and most capable AI model
Here’s the Flutter plugin, enabling every developer to do this in their own apps on any platform: https://github.com/BrutalCoding/aub.ai
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Not Everything Is Google's Fault (Just Most Things)
My bad, didn’t notice your comment earlier. Yes it is, here’s the repo: https://github.com/brutalcoding/aub.ai
autoscaler
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Upgrading Hundreds of Kubernetes Clusters
We use Cluster Autoscaler to automatically adjust the number of nodes (cluster size) based on your actual usage to ensure efficiency. Additionally, we deploy Vertical and Horizontal Pod Autoscalers to scale your applications' resources as their needs change automatically.
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Not Everything Is Google's Fault (Just Most Things)
> * Hetzner: cheap, good service, the finest pets in the world, no cattle
You can absolutely do cattle with Hetzner. They support imaging and immutable infrastructure. They don't have a native auto scaling equivalent, but if you're using Kubernetes, they have a cluster autoscaler: https://github.com/kubernetes/autoscaler/blob/master/cluster...
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Kubernetes(K8s) Autoscaler — a detailed look at the design and implementation of VPA
Here we take the VPA as a starting point to analyze the design and implementation principles of the VPA in Autoscaler. The source code for this article is based on Autoscaler HEAD fbe25e1.
- Scaling with Karpenter and Empty Pod(A.k.a Overprovisioning)
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Reducing Cloud Costs on Kubernetes Dev Envs
Autoscaling over EKS can be accomplished using either the cluster-autoscaler project or Karpenter. If you want to use Spot instances, consider using Karpenter, as it has better integrations with AWS for optimizing spot pricing and availability, minimizing interruptions, and falling back to on-demand nodes if no spot instances are available.
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☸️ Managed Kubernetes : Our dev is on AWS, our prod is on OVH
Autoscaling is already provided on OVH, but we don't use it for now. Autoscaler has to be manually installed on the AWS/EKS cluster.
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relevant way of scaling pods
do you mean this: https://github.com/kubernetes/autoscaler/blob/master/vertical-pod-autoscaler/pkg/recommender/README.md
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Kubernetes Cluster Maintenance
Read more about this scaler in detail here!
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Anyone running Windows nodes in your clusters?
We have a default node group of Linux hosts, but there's a secondary nodegroup of Windows hosts that is typically scaled down to 0. When a team's build runs, a pod is scheduled based on their definition. Cluster-autoscaler will check the nodeSelector and automatically spin up a node from that nodegroup if necessary.
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How to make sure Kubernetes autoscaler not deleting the nodes which runs specific pod
I am running a Kubernetes cluster(AWS EKS one) with Autoscaler pod So that Cluster will autoscale according to the resource request within the cluster.
What are some alternatives?
pixels2flutter - Convert a screenshot to a working Flutter app.
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
bark-with-voice-clone - 🔊 Text-prompted Generative Audio Model - With the ability to clone voices
cluster-proportional-autoscaler - Kubernetes Cluster Proportional Autoscaler Container
bark.cpp - Port of Suno AI's Bark in C/C++ for fast inference
aws-ebs-csi-driver - CSI driver for Amazon EBS https://aws.amazon.com/ebs/
mlx - MLX: An array framework for Apple silicon
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
web_ffi - Translates dart:ffi calls on the web to WebAssembly using dart:js
descheduler - Descheduler for Kubernetes
dart_nn - A simple Neural Network library written in dart
k3s-aws-terraform-cluster - Deploy an high available K3s cluster on Amazon AWS