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快速开始

TensorFusion概览在Kubernetes安装在虚拟机/服务器安装(K3S)Helm本地安装在宿主机/虚拟机安装TensorFusion架构

应用操作

创建AI应用配置自动扩缩容迁移现有应用最佳实践

自定义AI基础设施

生产级部署指南QoS级别与计价云厂商集成(BYOC)管理许可证

维护与优化

组件更新配置告警GPU热迁移预加载模型优化GPU效率

故障排除

问题处理手册链路追踪/性能分析查询指标和日志

参考

Helm安装Values配置
TensorFusionClusterGPUPoolGPUNodeGPUGPUNodeClassSchedulingConfigTemplateGPUResourceQuota
Kubernetes 事件监控指标定义性能测试命令行参考GPU/驱动/操作系统支持矩阵TensorFusion 安全白皮书

对比

与NVIDIA vGPU比较与MIG/MPS对比与趋动科技对比与 Run.AI 对比与HAMi的对比
系统管理员参考Kubernetes资源定义

GPUNodeClass

GPUNodeClass is the Schema for the gpunodeclasses API.

GPUNodeClass is the Schema for the gpunodeclasses API.

Resource Information

FieldValue
API Versiontensor-fusion.ai/v1
KindGPUNodeClass
ScopeCluster

Spec

GPUNodeClassSpec defines the desired state of GPUNodeClass.

PropertyTypeDescription
blockDeviceMappingsarray
instanceProfilestringThe instance profile to use, assign IAM role and permissions for EC2 instances
launchTemplateobjectThe launch template to use for VM instances, if set, all other fields could be skipped
metadataOptionsobjectfor AWS only, IMDSv2 metadata service options
osImageSelectorTermsarraythe OS image identifier string, default to use first one, if not found, fallback to others
osImageTypestringCould be private or public, varies in different cloud vendor, define where to query the OSImageID (default: Private) Allowed values: Private, Public, System
securityGroupSelectorTermsarray
subnetSelectorTermsarray
tagsobject
userDatastring

Status

GPUNodeClassStatus defines the observed state of GPUNodeClass.

GPU

GPU is the Schema for the gpus API.

SchedulingConfigTemplate

SchedulingConfigTemplate is the Schema for the schedulingconfigtemplates API.

目录

Resource Information
Spec
Status