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An open-source container orchestration engine for running AI workloads in any cloud or data center. https://discord.gg/u8SmfwPpMd

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### dstack version master ### Python version - ### Host OS - ### Host Arch - ### What happened? Resubmitting interrupted job leads to duplicates in instance names (while the...

bug
stale

### Problem Currently there is no way to select this when choosing vast.ai instances or tensordock instances, so you might have to use potentially insecure instances. ### Solution add a...

feature
stale

### Problem Currently, if a spot instance is interrupted, the job is killed abruptly. ### Solution AFAIK, AWS/GCP/Azure provides mechanisms to recieved events about the interruption. If `dstack-shim` is able...

feature
enhancement
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### Problem Currently, when I access a dev environment, I cannot push my changes because: 1. My Git credentials are not configured on the dev environment 2. My `~/.gitconfig` is...

feature
enhancement
stale

### Steps to reproduce Try running a configuration with a non-root image. ```shell > cat prometheus.dstack.yml type: task image: bitnami/prometheus ports: - 9090 resources: memory: 0.5GB.. cpu: 1.. > dstack...

enhancement
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### Steps to reproduce Run a configuration with `image: fedora:39` ```shell > cat hello.dstack.yml type: task image: fedora:39 commands: - echo Hello resources: cpu: 1.. memory: 0.3GB.. > dstack run...

enhancement
stale

### Problem A user might want to choose between a small subset of the returned instances that they can run a job on due to things like stability, cost, or...

feature
stale

#877 allowed users to specify cloud-specific regions via CLI. While it may be convenient if only one backend is configured, if multiple backends are configured, users would need to specify...

feature
stale

### Steps to reproduce 1. Run the following code ```python import sys from dstack.api import Task, GPU, Client, Resources, LocalRepo client = Client.from_config() task = Task( commands=[ "pwd", "find .",...

bug
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### Steps to reproduce 1. Define `.dstack.yml` - Set `type to `dev-environment` - Set `image` set to a Docker image that doesn't have `curl` pre-installed ``` type: dev-environment image: pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime...

bug