Memory Machine Cloud
flytekitplugins-mmcloud
Flyte Connector plugin to allow executing Flyte tasks using MemVerge Memory Machine Cloud.
pip install flytekitplugins-mmcloudQuick Start(example, may need adjustment)
See full examplespip install flytekitplugins-mmcloud
from flytekit import task, workflow
from flytekitplugins.mmcloud import MMCloudConnector, MMCloudConfig, MMCloudTask
@task(task_config=MMCloudTask(...))
def my_task() -> None:
...
@workflow
def my_workflow() -> None:
my_task()Available Imports (3)
Backend connector for Memory Machine Cloud.
from flytekitplugins.mmcloud import MMCloudConnector
Configures MMCloudTask.
extends dataclass — configuration or data structure for plugin setup
from flytekitplugins.mmcloud import MMCloudConfig
Task for Memory Machine Cloud.
extends PythonFunctionTask — a flyte task that can be used in workflows
from flytekitplugins.mmcloud import MMCloudTask
Dependencies
Related Plugins
AWS Batch
Flyte backend can be connected with AWS batch. Once enabled, it allows you to run flyte task on AWS batch service
Databricks
This plugin provides Databricks integration for Flyte, enabling you to run Spark jobs on Databricks as Flyte tasks.
AWS Athena
Flyte backend can be connected with Athena. Once enabled, it allows you to query AWS Athena service (Presto + ANSI SQL Support) and retrieve typed schema (optionally).
AWS SageMaker
The plugin currently features a SageMaker deployment connector.