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Fix typo in architecture.md regarding Hypervisor #23

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Fix typo in architecture.md regarding Hypervisor #23

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2 changes: 1 addition & 1 deletion docs/zh/guide/getting-started/architecture.md
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Expand Up @@ -70,7 +70,7 @@ TensorFusion的虚拟化层，是在rCUDA、GaiaGPU等前辈的学术研究基
- TensorFusion调度器同时分配GPU资源，在最合适的GPU主机上启动对应的Worker，实现不同租户资源隔离、函数地址和数据地址隔离
- 当Pod调用CUDA API时，通过GPU Stub将调用转发到Worker，经过特殊处理和优化后，实现安全的远程或本机共享GPU
- Worker端运行的ResourceLimiter拦截GPU驱动层函数调用，对内存管理、核函数调用（LaunchKernel）等进行算力、显存资源的灵活控制
- 在每个GPU主机上云霄的Hypervisor管理正在使用的多个Worker，实现VRAM的冷温热分层、实时监控、GPU上下文热迁移、模型预加载等高级功能。
- 在每个GPU主机上运行的Hypervisor管理正在使用的多个Worker，实现VRAM的冷温热分层、实时监控、GPU上下文热迁移、模型预加载等高级功能。

![](https://cdn.tensor-fusion.ai/vgpu-flow-tf.pic.jpg)

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