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0.19.33

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@jvstme jvstme released this 16 Oct 17:20
· 466 commits to master since this release
1c2a7bd

Kubernetes

AMD

The kubernetes backend now allows you to run workloads on AMD GPU-enabled Kubernetes clusters.

Screenshot 2025-10-10 at 17 36 50

UI

Dev environments

You can now configure and provision dev environments directly from the user interface.

create-dev-environment-2.mp4

Note

CLI version 0.19.33 or later is required to attach to runs created from the UI.

GCP

Reservations

You can now configure specifically-targeted GCP reservations in fleet configurations to leverage reserved compute capacity:

type: fleet
nodes: 4
placement: cluster
backends: [gcp]
reservation: my-reservation

For reservations shared between projects, use the full syntax:

type: fleet
nodes: 4
placement: cluster
backends: [gcp]
reservation: projects/my-proj/reservations/my-reservation

dstack will automatically locate the specified reservation, match offers to the reservation's properties, and provision instances within the reservation. If there are multiple reservations with the specified name, all of them will be considered for provisioning.

Note

Using reservations requires the compute.reservations.list permission in the project that owns the reservation.

G4 preview

If your GCP project has access to the preview G4 instance type, you can now try it out with dstack.

> dstack offer -b gcp --gpu RTXPRO6000

 #  BACKEND            RESOURCES                                      INSTANCE TYPE   PRICE
 1  gcp (us-central1)  cpu=48 mem=180GB disk=100GB RTXPRO6000:96GB:1  g4-standard-48  $0

To use G4, enable its preview in the backend settings.

projects:
- name: main
  backends:
  - type: gcp
    project_id: my-project
    creds:
      type: default
    preview_features: [g4]

Hot Aisle

The hotaisle backend now supports 8x MI300X instances too.

> dstack offer -b hotaisle --gpu 8:MI300X                         

 #  BACKEND                   RESOURCES                                       INSTANCE TYPE                      PRICE    
 1  hotaisle (us-michigan-1)  cpu=104 mem=1792GB disk=12288GB MI300X:192GB:8  8x MI300X 104x Xeon Platinum 8470  $15.92

Docker

Default image

The default Docker image now uses CUDA 12.8 (updated from 12.1).

What's changed

Full changelog: 0.19.32...0.19.33