terraform-provider-iterative
tensordock-cli
terraform-provider-iterative | tensordock-cli | |
---|---|---|
24 | 1 | |
287 | 7 | |
0.3% | - | |
6.0 | 0.0 | |
5 months ago | over 1 year ago | |
Go | Go | |
Apache License 2.0 | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
terraform-provider-iterative
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Using Ansible to create Deep Learning VM
You should look at terraform, and at the provider from iterative, the guys begind DVC, https://registry.terraform.io/providers/iterative/iterative/latest/docs
- Terraform Provider for Machine Learning
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Terraform Provider Iterative (TPI) - a CLI tool offering full lifecycle management of computing resources from several cloud vendors (AWS, Azure, GCP, K8s) for machine learning
TPI tool offers full lifecycle management of computing resources (including GPUs and respawning spot instances) from several cloud vendors (AWS, Azure, GCP, K8s) without needing to be a cloud expert: Terraform Provider Iterative (TPI) - Terraform Registry
- Terraform plugin for machine learning workloads
- Terraform plugin for machine learning workloads: spot instance recovery and auto-termination on AWS, GCP, Azure, Kubernetes, on-premise, etc. - TPI
- Terraform Provider Iterative - open-source Python plugin for ML workloads: spot instance recovery and auto-termination on AWS, GCP, Azure, Kubernetes, on-premise, etc.
- TPI - Terraform open-source plugin for ML workloads: spot instance recovery and auto-termination on AWS, GCP, Azure, Kubernetes, on-premise, etc.
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Terraform plugin for ML workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
Terraform Provider Iterative (TPI) address the specific needs of machine learning teams - it is an open-source tool extending the functionality of Terraform, the world's most widely used multi-cloud provisioning product. The tool enables full lifecycle management of computing resources and is designed specifically for machine learning pipelines: Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
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Managing ML workloads automatically for spotting instance recovery and auto-termination - Terraform plugin for on-premise and top cloud providers - AWS, GCP, Azure, and others
TPI is a Terraform plugin built with machine learning in mind. This CLI tool offers full lifecycle management of computing resources (including GPUs and respawning spot instances) from several cloud vendors (AWS, Azure, GCP, K8s) without needing to be a cloud expert: Terraform Provider Iterative (TPI) - GitHub
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Monthly 'Getting into DevOps' thread - 2022/05
Hey all, we (at https://iterative.ai) just launched TPI - Terraform Provider Iterative: https://github.com/iterative/terraform-provider-iterative It was designed for machine learning (ML/AI) teams and optimizes CPU/GPU expenses.
tensordock-cli
What are some alternatives?
Terraform-Guide - Terraform Guide
kubevirt - Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
belfy - Create a CRUD application from simple data definition yaml files and customise it using yaml.
d2vm - Build Virtual Machine Image from Dockerfile or Docker image
salami - Infrastructure as Natural Language
runtime - Kata Containers version 1.x runtime (for version 2.x see https://github.com/kata-containers/kata-containers).
cloud-service-broker - OSBAPI service broker that uses Terraform to provision and bind services. Derived from https://github.com/GoogleCloudPlatform/gcp-service-broker
devbox - Instant, easy, and predictable development environments
carbonifer - Control carbon emission of your cloud infrastructure - Carbon-aware cloud infra