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Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
book

Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署

by Max Pumperla, Edward Oakes, Richard Liaw
May 2024
Intermediate
252 pages
5h 31m
Chinese
China Machine Press
Content preview from Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
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9
如下所示是基本的集群规范。这只是启动集群所需的最少信息。有关集群
YAML
文件的更多信息,请参考此处的大型示例(我们称为
cluster.yaml
):
# The maximum number of workers nodes to launch in addition to the head
# node. min_workers default to 0.
max_workers: 1
# Cloud provider–specific configuration.
provider:
type: aws
region: us-west-2
availability_zone: us-west-2a
# How Ray will authenticate with newly launched nodes.
auth:
ssh_user: ubuntu
# An unique identifier for the head node and workers of this cluster.
cluster_name: minimal
9.3.2
使用集群启动器
CLI
有了集群配置文件,就可以使用
Cluster Launcher CLI
部署指定的集群:
ray up cluster.yaml
只需一行代码,就能通过手动设置集群完成所有工作。该命令将与云提供商交
互,为主节点提供资源,并在该节点上启动适当的
Ray
服务或进程。
这一行代码不会自动启动所有指定的节点。实际上,它只会启动一个主节点 ...
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Publisher Resources

ISBN: 9787111753384