# OpenNebula 日跟踪 · 2026-09-15
> 日期：2026-09-15（Asia/Shanghai，周二）。原料：archive/2026-09-15/opennebula/。上一日成功日跟踪 2026-09-14。

## 摘要
- **本日无公开战略级新版本通稿**；相对 2026-09-14 无新的产品大版本号。
- **续档 · NVIDIA-Certified Hypervisors 列表页** + GB200 NVL72 校验博客：与 Mirantis k0rdent / Rafay 并列——认证列表旁证，非今日新认证事件。
- **续档 · OneSwap 迁移文档**：vCenter→OpenNebula；「96% success rate in converting VMs automatically」为**厂商自称，未独立核实**。
- **续档仍有效**：OpenNebula **7.4 Helix**、GPU passthrough 文档。

## 原文摘录

### [OpenNebula Successfully Completes NVIDIA-Certified Hypervisor Validation…](https://opennebula.io/blog/product/opennebula-validation-gb200-nvl72/) · 续档
- 归档：`opennebula/opennebula-successfully-completes-nvidia-certified-hypervisor-validati-2ed04f5b.txt`
- URL：https://opennebula.io/blog/product/opennebula-validation-gb200-nvl72/
> AI infrastructure is putting new pressure on the traditional boundaries between cloud and bare metal. For many years, organizations running demanding AI and HPC workloads have tended to favor bare-metal deployments, mainly to avoid the performance overhead historically associated with virtualization. At the same time, giving up virtualization also means giving up many of the capabilities that make cloud infrastructure easier to operate: isolation, automation, multi-tenancy, workload mobility, and consistent lifecycle management.
> This is exactly the gap OpenNebula is designed to address. With today’s launch of the NVIDIA-Certified Hypervisors program, we are proud to announce that OpenNebula has successfully completed NVIDIA-Certified Hypervisor validation for NVIDIA Grace Blackwell NVL72 on the Arm certification track. The validation demonstrates that OpenNebula delivers the performance needed for demanding AI workloads while enabling the operational benefits of virtualization through technologies such as PCI passthrough.
> Virtualization Without Giving Up Accelerator Performance
> The key to this architecture is the combination of virtualization with PCI passthrough, which exposes GPUs and other high-performance devices directly to a virtual machine. Instead of inserting an additional software layer in the accelerator data path, the guest operating system interacts directly with the assigned hardware.
> That distinction matters a lot for AI and HPC. OpenNebula can therefore provide the operational advantages of a virtualized cloud platform while keeping the accelerator path close to a bare-metal deployment. The VM remains the unit of isolation and lifecycle management, but the workload gets direct access to the GPU resources it needs. This makes it possible to build AI infrastructure that does not force operators to choose between cloud flexibility and hardware performance.
> Validated on NVIDIA GB200 NVL72
>（**认证范围以伙伴自述为准**）

### [Migrating VMs with OneSwap](https://docs.opennebula.io/7.2/software/migration_from_vmware/oneswap/) · 续档
- 归档：`opennebula/migrating-vms-with-oneswap-c1966963.txt`
- URL：https://docs.opennebula.io/7.2/software/migration_from_vmware/oneswap/
> OpenNebula provides OneSwap… OneSwap has been used in the field with a 96% success rate in converting VMs automatically…（**厂商自称，未独立核实**）

### [OpenNebula 7.4 “Helix”](https://opennebula.io/opennebula-7-4/) · 续档
- 归档：`opennebula/opennebula-7-4-helix-a3a1dc13.txt`
- URL：https://opennebula.io/opennebula-7-4/
> （OpenNebula 7.4 “Helix” 产品页——常设版本信号）

## 对基础档案的影响
- NVIDIA 认证 / OneSwap / 7.4 Helix 续档维持；本日无档案字段变更。