Replaced datacrunch with verda (#3564)

Author: peterschmidt85

docs/docs/concepts/backends.md

@@ -853,7 +853,7 @@ Then, go ahead and configure the backend:
 projects:
   - name: main
     backends:
-      - type: datacrunch
+      - type: verda
         creds:
           type: api_key
           client_id: xfaHBqYEsArqhKWX-e52x3HH7w8T

docs/docs/guides/protips.md

@@ -439,10 +439,10 @@ Getting offers...
 ---> 100%
 
  #   BACKEND     REGION     INSTANCE TYPE          RESOURCES                                     SPOT  PRICE   
- 1   datacrunch  FIN-01     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
- 2   datacrunch  FIN-02     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
- 3   datacrunch  FIN-02     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
- 4   datacrunch  ICE-01     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 1   verda       FIN-01     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 2   verda       FIN-02     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 3   verda       FIN-02     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 4   verda       ICE-01     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
  5   runpod      US-KS-2    NVIDIA H100 PCIe       16xCPU, 251GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.39   
  6   runpod      CA         NVIDIA H100 80GB HBM3  24xCPU, 251GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.69   
  7   nebius      eu-north1  gpu-h100-sxm           16xCPU, 200GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.95   

docs/docs/reference/cli/dstack/offer.md

@@ -58,10 +58,10 @@ Getting offers...
 ---> 100%
 
  #   BACKEND     REGION     INSTANCE TYPE          RESOURCES                                     SPOT  PRICE   
- 1   datacrunch  FIN-01     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
- 2   datacrunch  FIN-02     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
- 3   datacrunch  FIN-02     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
- 4   datacrunch  ICE-01     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 1   verda       FIN-01     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 2   verda       FIN-02     1H100.80S.30V          30xCPU, 120GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 3   verda       FIN-02     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
+ 4   verda       ICE-01     1H100.80S.32V          32xCPU, 185GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.19   
  5   runpod      US-KS-2    NVIDIA H100 PCIe       16xCPU, 251GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.39   
  6   runpod      CA         NVIDIA H100 80GB HBM3  24xCPU, 251GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.69   
  7   nebius      eu-north1  gpu-h100-sxm           16xCPU, 200GB, 1xH100 (80GB), 100.0GB (disk)  no    $2.95   

examples/models/wan22/README.md

@@ -103,10 +103,10 @@ cloud resources and run the configuration.
 ```shell
 $ dstack apply -f examples/models/wan22/.dstack.yml
 
- #  BACKEND              RESOURCES                                        INSTANCE TYPE   PRICE
- 1  datacrunch (FIN-01)  cpu=30 mem=120GB disk=200GB H100:80GB:1 (spot)   1H100.80S.30V   $0.99
- 2  datacrunch (FIN-01)  cpu=30 mem=120GB disk=200GB H100:80GB:1 (spot)   1H100.80S.30V   $0.99
- 3  datacrunch (FIN-02)  cpu=44 mem=182GB disk=200GB H200:141GB:1 (spot)  1H200.141S.44V  $0.99
+ #  BACKEND         RESOURCES                                        INSTANCE TYPE   PRICE
+ 1  verda (FIN-01)  cpu=30 mem=120GB disk=200GB H100:80GB:1 (spot)   1H100.80S.30V   $0.99
+ 2  verda (FIN-01)  cpu=30 mem=120GB disk=200GB H100:80GB:1 (spot)   1H100.80S.30V   $0.99
+ 3  verda (FIN-02)  cpu=44 mem=182GB disk=200GB H200:141GB:1 (spot)  1H200.141S.44V  $0.99
 
 ---> 100%
 
@@ -125,10 +125,10 @@ If you want you can override the default GPU, spot policy, and even the prompt v
 $ PROMPT=...
 $ dstack apply -f examples/models/wan22/.dstack.yml --spot --gpu H100,H200:8
 
- #  BACKEND              RESOURCES                                          INSTANCE TYPE    PRICE
- 1  aws (us-east-2)      cpu=192 mem=2048GB disk=300GB H100:80GB:8 (spot)   p5.48xlarge      $6.963
- 2  datacrunch (FIN-02)  cpu=176 mem=1480GB disk=300GB H100:80GB:8 (spot)   8H100.80S.176V   $7.93
- 3  datacrunch (ICE-01)  cpu=176 mem=1450GB disk=300GB H200:141GB:8 (spot)  8H200.141S.176V  $7.96
+ #  BACKEND          RESOURCES                                          INSTANCE TYPE    PRICE
+ 1  aws (us-east-2)  cpu=192 mem=2048GB disk=300GB H100:80GB:8 (spot)   p5.48xlarge      $6.963
+ 2  verda (FIN-02)   cpu=176 mem=1480GB disk=300GB H100:80GB:8 (spot)   8H100.80S.176V   $7.93
+ 3  verda (ICE-01)   cpu=176 mem=1450GB disk=300GB H200:141GB:8 (spot)  8H200.141S.176V  $7.96
  
 ---> 100%