Remove default raycluster image

demo-notebooks/additional-demos/hf_interactive.ipynb

@@ -69,7 +69,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper)."
+    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper).\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {

demo-notebooks/additional-demos/local_interactive.ipynb

@@ -30,6 +30,16 @@
     "auth.login()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "18de2d65",
+   "metadata": {},
+   "source": [
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -44,7 +54,18 @@
     "cluster_name = \"hfgputest-1\"\n",
     "local_interactive = True\n",
     "\n",
-    "cluster = Cluster(ClusterConfiguration(local_interactive=local_interactive, namespace=namespace, name=cluster_name, num_workers=1, min_cpus=1, max_cpus=1, min_memory=4, max_memory=4, num_gpus=0, instascale=False, machine_types=[\"m5.xlarge\", \"p3.8xlarge\"]))"
+    "cluster = Cluster(ClusterConfiguration(local_interactive=local_interactive,\n",
+    "                                       namespace=namespace,\n",
+    "                                       name=cluster_name,\n",
+    "                                       num_workers=1,\n",
+    "                                       min_cpus=1,\n",
+    "                                       max_cpus=1,\n",
+    "                                       min_memory=4,\n",
+    "                                       max_memory=4,\n",
+    "                                       num_gpus=0,\n",
+    "                                       image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
+    "                                       instascale=False,\n",
+    "                                       machine_types=[\"m5.xlarge\", \"p3.8xlarge\"]))"
    ]
   },
   {

demo-notebooks/guided-demos/0_basic_ray.ipynb

@@ -46,7 +46,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper)."
+    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper).\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -66,7 +69,7 @@
     "    min_memory=4,\n",
     "    max_memory=4,\n",
     "    num_gpus=0,\n",
-    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\", #current default\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=False\n",
     "))"
    ]
@@ -191,7 +194,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.9.18"
   },
   "vscode": {
    "interpreter": {

demo-notebooks/guided-demos/1_basic_instascale.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):"
+    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -63,6 +66,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, # InstaScale now enabled, will scale OCP cluster to guarantee resource request\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"] # Head, worker AWS machine types desired\n",
     "))"

demo-notebooks/guided-demos/2_basic_jobs.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Let's start by running through the same cluster setup as before:"
+    "Let's start by running through the same cluster setup as before:\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -63,6 +66,7 @@
     "    min_memory=4,\n",
     "    max_memory=4,\n",
     "    num_gpus=0,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=False\n",
     "))"
    ]

demo-notebooks/guided-demos/3_basic_interactive.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Once again, let's start by running through the same cluster setup as before:"
+    "Once again, let's start by running through the same cluster setup as before:\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -63,6 +66,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, #<---instascale enabled\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"]\n",
     "    \n",

demo-notebooks/guided-demos/4_gpt.ipynb

@@ -30,6 +30,15 @@
     "auth.login()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8f4b200f",
+   "metadata": {},
+   "source": [
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -46,6 +55,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, #<---instascale enabled\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"],\n",
     "))"

demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb

@@ -46,7 +46,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper)."
+    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper).\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -74,7 +77,7 @@
     "    min_memory=4,\n",
     "    max_memory=4,\n",
     "    num_gpus=0,\n",
-    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\", #current default\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=False\n",
     "))"
    ]

demo-notebooks/guided-demos/notebook-ex-outputs/1_basic_instascale.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):"
+    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -71,6 +74,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, # InstaScale now enabled, will scale OCP cluster to guarantee resource request\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"] # Head, worker AWS machine types desired\n",
     "))"

demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_jobs.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Let's start by running through the same cluster setup as before:"
+    "Let's start by running through the same cluster setup as before:\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -71,6 +74,7 @@
     "    min_memory=4,\n",
     "    max_memory=4,\n",
     "    num_gpus=0,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=False\n",
     "))"
    ]

demo-notebooks/guided-demos/notebook-ex-outputs/3_basic_interactive.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Once again, let's start by running through the same cluster setup as before:"
+    "Once again, let's start by running through the same cluster setup as before:\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -71,6 +74,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, #<---instascale enabled\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"]\n",
     "    \n",

demo-notebooks/guided-demos/notebook-ex-outputs/4_gpt.ipynb

@@ -30,6 +30,16 @@
     "auth.login()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b43e8e21",
+   "metadata": {},
+   "source": [
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -54,6 +64,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, #<---instascale enabled\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"],\n",
     "))"

demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb

@@ -46,7 +46,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper)."
+    "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding AppWrapper).\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -66,7 +69,7 @@
     "    min_memory=4,\n",
     "    max_memory=4,\n",
     "    num_gpus=0,\n",
-    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\", #current default\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=False\n",
     "))"
    ]

demo-notebooks/guided-demos/preview_nbs/1_basic_instascale.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):"
+    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -63,6 +66,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, # InstaScale now enabled, will scale OCP cluster to guarantee resource request\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"] # Head, worker AWS machine types desired\n",
     "))"

demo-notebooks/guided-demos/preview_nbs/2_basic_jobs.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Let's start by running through the same cluster setup as before:"
+    "Let's start by running through the same cluster setup as before:\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -63,6 +66,7 @@
     "    min_memory=4,\n",
     "    max_memory=4,\n",
     "    num_gpus=0,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=False\n",
     "))"
    ]

demo-notebooks/guided-demos/preview_nbs/3_basic_interactive.ipynb

@@ -43,7 +43,10 @@
    "id": "bc27f84c",
    "metadata": {},
    "source": [
-    "Once again, let's start by running through the same cluster setup as before:"
+    "Once again, let's start by running through the same cluster setup as before:\n",
+    "\n",
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
    ]
   },
   {
@@ -63,6 +66,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, #<---instascale enabled\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"]\n",
     "    \n",

demo-notebooks/guided-demos/preview_nbs/4_gpt.ipynb

@@ -30,6 +30,15 @@
     "auth.login()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5e4e9ee9",
+   "metadata": {},
+   "source": [
+    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
+    "The example here is a community image."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -46,6 +55,7 @@
     "    min_memory=8,\n",
     "    max_memory=8,\n",
     "    num_gpus=1,\n",
+    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
     "    instascale=True, #<---instascale enabled\n",
     "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"],\n",
     "))"