Inspect the Compute Environment
You can inspect the state of your internal compute environment to see if it is attached to Graph Studio.
Additionally, you can also view the memory configuration for the graph server and the supported notebook interpreters.
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Click on your username on the top right drop-down menu of your interface.
The drop-down menu appears as shown:

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Select Compute Environment from the drop-down menu.
Tip: You can click the compute environment status indicator in the header to directly open the Compute Environment slider.
The Compute Environment slider opens as shown:

Description of the illustration select_env.png
You can view the following environment details:
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Status of your compute environment.
The compute environment can be available in one of the following states:
State Description Attached Graph Studio is currently attached to a compute environment. Attaching Graph Studio is currently in the process of attaching to a compute environment. Detached Graph Studio is currently not attached to any compute environment Detaching Graph Studio is currently in the process of detaching from a compute environment If the compute environment status is Attached, then you can also view the total amount of memory allocated to the environment.
Graph Studio determines the total available memory based on the ECPU allocated to Graph Studio in the Tool Configuration section of the Autonomous AI Database instance. The memory is determined using a predefined allocation model.
ECPU Memory (GB) 8 and below 30 9-16 60 17-24 90 25 and above 120 -
Graph server memory configuration.
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Click Interpreters to view the memory configuration for the following interpreters.
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PGX interpreter memory
Note that this memory configuration applies for the following interpreters as they all share the configured memory space:
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Java (PGX) interpreter
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PGQL (PGX) interpreter
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Custom Algorithm (PGX) interpreter
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Markdown interpreter memory
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Python interpreter memory
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Database interpreter memory
Note that this memory configuration applies for the following interpreters as they all share the configured memory space:
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SQL interpreter
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PGQL (RDBMS) interpreter
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SPARQL (RDF) interpreter
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Conda interpreter memory
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By default, Graph Studio distributes memory across components using predefined percentages. Each component also has a minimum memory requirement that cannot be reduced further.
Component Default Percentage Memory (GB) Minimum Memory (GB) PGX 40% 12 4 PGX Interpreter 12% 3.6 1 Markdown Interpreter 2% 0.6 0.15 Python Interpreter 17% 5.1 1 Database Interpreter 12% 3.6 1 Conda Interpreter 17% 5.1 1 -