DeepSense Documentation - Revision history

PSuthar at 15:18, 11 September 2025

2025-09-11T15:18:37Z

PSuthar: /* DeepSense Cloud Computing Services */

2025-09-11T15:16:51Z

‎DeepSense Cloud Computing Services

PSuthar: Add AI Dev Platform

2025-09-11T15:16:03Z

Add AI Dev Platform

PSuthar: /* DeepSense Cloud Computing Services */

2024-08-12T18:41:26Z

‎DeepSense Cloud Computing Services

PSuthar: /* DeepSense Cloud Computing Services */

2024-04-25T19:44:57Z

‎DeepSense Cloud Computing Services

PSuthar: Add HPC availability

2024-04-25T19:44:27Z

Add HPC availability

PSuthar: Update email

2024-04-03T17:44:58Z

Update email

PSuthar: /* DeepSense Cloud Computing Services */

2023-11-24T19:54:47Z

‎DeepSense Cloud Computing Services

PSuthar: /* DeepSense Cloud Computing Services */

2023-11-24T19:54:17Z

‎DeepSense Cloud Computing Services

PSuthar: /* DeepSense Cloud Computing Services */

2023-11-24T19:53:23Z

‎DeepSense Cloud Computing Services

@@ Line 23: / Line 23: @@
 | JupyterLab Notebook Instance attached with storage volume that hosts the directory on JupyterLab. The size of the storage volume is scalable.
 |}
 '''<span style="font-size:120%>Amazon Web Services (AWS)</span>'''

@@ Line 17: / Line 17: @@
 |style="Color:green" | Available
 | JupyterLab Notebook Instances
-| JupyterLab notebook instance is a machine learning (ML) compute instance running the Jupyter Notebook application.
+| JupyterLab notebook instance is a machine learning compute instance running the Jupyter Notebook application.
 |-
 |style="Color:green" | Available

← Older revision		Revision as of 15:16, 11 September 2025
Line 9:		Line 9:
	== DeepSense Cloud Computing Services ==		== DeepSense Cloud Computing Services ==

		+	'''<span style="font-size:120%>DeepSense AI Development Platform</span>'''
		+	{\|class="wikitable" style="text-align: center; color: black; font-style:bold"
		+	\|'''Availability'''
		+	\|style="width:20% \| '''Service'''
		+	\|style="width:70% \| '''Usage'''
		+	\|-
		+	\|style="Color:green" \| Available
		+	\| JupyterLab Notebook Instances
		+	\| JupyterLab notebook instance is a machine learning (ML) compute instance running the Jupyter Notebook application.
		+	\|-
		+	\|style="Color:green" \| Available
		+	\| Instance attached Volume
		+	\| JupyterLab Notebook Instance attached with storage volume that hosts the directory on JupyterLab. The size of the storage volume is scalable.
		+	\|}

	'''<span style="font-size:120%>Amazon Web Services (AWS)</span>'''		'''<span style="font-size:120%>Amazon Web Services (AWS)</span>'''

@@ Line 31: / Line 31: @@
 | SageMaker Studio - AutoML
 | Amazon SageMaker Studio provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps.
 |}

@@ Line 72: / Line 72: @@
 |}
-'''<span style="font-size:120%>HCP on AWS and Azure</span>'''
+'''<span style="font-size:120%>HPC on AWS and Azure</span>'''
 {|class="wikitable" style="text-align: center; color: black; font-style:bold"
 |'''Availability'''

@@ Line 70: / Line 70: @@
 | Vertex AI Notebooks
 | Vertex AI Workbench managed notebooks instances are Google-managed end-to-end Jupyter notebook-based environment.
 |}

@@ Line 4: / Line 4: @@
 We continuously explore the best cloud solutions to the AI projects. We don't lock our solutions in any specific cloud vendors. The tables below show the cloud services we have tested and are developing projects on. More cloud services will be coming soon.
-We routinely make changes and update the content.  If you see anything missing, or have any suggestions for content, we would appreciate hearing from you.  You can send us an email at ([mailto:support@deepsense.ca support@deepsense.ca]).
+We routinely make changes and update the content.  If you see anything missing, or have any suggestions for content, we would appreciate hearing from you.  You can send us an email at ([mailto:info@deepsense.ca info@deepsense.ca]).
 You can click on "Resources" on the navigation panel to find the technical details of the virtual machines and serverless computing services.

@@ Line 48: / Line 48: @@
 |-
 |style="Color:green" | Available
-| Machine Learning workspace
+| Machine Learning Workspace
 | Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project lifecycle.
 |}

@@ Line 33: / Line 33: @@
 |}
+'''<span style="font-size:120%>Microsoft Azure</span>'''
 {|class="wikitable" style="text-align: center; color: black; font-style:bold"
 |'''Availability'''
@@ Line 41: / Line 40: @@
 |-
 |style="Color:green" | Available
-| Cloud Storage
+| Blob Storage
-| Cloud Storage is a service for storing your objects in Google Cloud. Mainly use it for long term storage or backing up your data.
+| Azure Blob Storage is a store for objects capable of storing large amounts of unstructured data. Can be used for long term storage or backing up your data.
 |-
 |style="Color:green" | Available
-| Compute Engine
+| Virtual Machine
+| Azure Virtual Machines are image service instances that provide on-demand and scalable computing resources for training models in a manually configured environment.
 |-
-|style="Color:orange" | Available Soon
+|style="Color:green" | Available
-| Vertex AI Notebooks
+| Machine Learning workspace
-| Vertex AI Workbench managed notebooks instances are Google-managed end-to-end Jupyter notebook-based environment.
+| Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project lifecycle.
 |}
-'''<span style="font-size:120%>Microsoft Azure</span>'''
+'''<span style="font-size:120%>Google Cloud Platform (GCP)</span>'''
 {|class="wikitable" style="text-align: center; color: black; font-style:bold"
 |'''Availability'''
@@ Line 61: / Line 59: @@
 |-
 |style="Color:green" | Available
-| Blob Storage
+| Cloud Storage
-| Azure Blob Storage is a store for objects capable of storing large amounts of unstructured data. Can be used for long term storage or backing up your data.
+| Cloud Storage is a service for storing your objects in Google Cloud. Mainly use it for long term storage or backing up your data.
 |-
 |style="Color:green" | Available
-| Virtual Machine
+| Compute Engine
-| Azure Virtual Machines are image service instances that provide on-demand and scalable computing resources for training models in a manually configured environment.
 |-
-|style="Color:green" | Available
+|style="Color:orange" | Available Soon
-| Machine Learning workspace
+| Vertex AI Notebooks
-| Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project lifecycle.
+| Vertex AI Workbench managed notebooks instances are Google-managed end-to-end Jupyter notebook-based environment.
 |}