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Sync with the latest deployment changes and update the numbers and add comments #300

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60 changes: 31 additions & 29 deletions resources.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,10 @@
graceful: false

nodes_inventory:
c1.c28m225d50: 5 #(16.04.2024: RZ swapped the underlying servers for a 4 in 1 node and this will be of a different flavor and we need to wait to get the hardware)

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22:121 [line-length] line too long (164 > 120 characters)
c1.c28m475d50: 19
c1.c36m100d50: 32
c1.c36m225d50: 11
c1.c36m100d50: 30
c1.c36m225d50: 15
c1.c36m900d50: 1
c1.c36m975d50: 8
c1.c60m1975d50: 1
Expand Down Expand Up @@ -55,7 +55,7 @@
# image: default

worker-interactive:
count: 1 #8
count: 3 #8
flavor: c1.c36m100d50
group: interactive
docker: true
Expand All @@ -64,7 +64,7 @@
size: 1024
type: default
worker-c28m475:
count: 19 #19
count: 19
flavor: c1.c28m475d50
group: compute
docker: true
Expand All @@ -80,7 +80,7 @@
# and since we do not have enough compute for Galaxy in the new cloud yet, let's redirect the
# training VMs resources to the Galaxy and deploy them as compute nodes for now.
worker-c28m225:
count: 5 #0
count: 5
flavor: c1.c28m225d50
group: compute # compute_test
docker: true
Expand All @@ -92,21 +92,21 @@
mem_reserved_size: 2048
image: default

# worker-c36m100:
# count: 26 #32
# flavor: c1.c36m100d50
# group: compute
# docker: true
# volume:
# size: 1024
# type: default
# cgroups:
# mem_limit_policy: hard
# mem_reserved_size: 2048
# image: default
worker-c36m100:
count: 25
flavor: c1.c36m100d50
group: compute
docker: true
volume:
size: 1024
type: default
cgroups:
mem_limit_policy: hard
mem_reserved_size: 2048
image: default

worker-c36m225:
count: 8 #11
count: 15
flavor: c1.c36m225d50
group: compute
docker: true
Expand All @@ -132,7 +132,7 @@
image: default

worker-c36m975:
count: 7 #8
count: 8
flavor: c1.c36m975d50
group: compute
docker: true
Expand All @@ -144,6 +144,8 @@
mem_reserved_size: 2048
image: default

# 24.04.2024: Flavors c1.c28m935d50 and c1.c28m875d50 will be available once
# moved to the new cloud along with the GPU flavors.
# worker-c28m935:
# count: 4 #4
# flavor: c1.c28m935d50
Expand All @@ -170,15 +172,15 @@
# mem_reserved_size: 2048
# image: default

# worker-c64m2:
# count: 1 #1
# flavor: c1.c60m1975d50
# group: compute
# docker: true
# volume:
# size: 1024
# type: default
# image: default
worker-c64m2:
count: 1
flavor: c1.c60m1975d50
group: compute
docker: true
volume:
size: 1024
type: default
image: default

# worker-c120m225:
# count: 12 #12
Expand Down Expand Up @@ -219,6 +221,7 @@
mem_reserved_size: 2048
image: default

# 24.04.2024: GPU VMs are deployed (manually) in the old cloud for now
# worker-c14m40g1:
# count: 4 #4
# flavor: g1.c14m40g1d50
Expand All @@ -245,7 +248,6 @@
# mem_reserved_size: 1024
# image: gpu


# Trainings
# These will overlap April 8-17
# training-kmb6:
Expand Down
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