https://newvhd.com/static/yunzhuomian-bushu.html?lang=en
A cloud desktop isn't a matter of just "installing some software" — what matters is the rollout: where the server goes (physical machine / virtual machine / Docker / Xinchuang platform), how to plan the network, how to build the master image, whether to boot in network, semi-cached, or fully-cached mode, and how to switch over in batches without disrupting classes. The vDisk Converged Cloud Management Platform is built on the IDV5 engine, with the desktop running locally on the endpoint at physical-machine performance and one master image pushed with a single click to manage heterogeneous terminals — the following five-step deployment process helps you move steadily from a single-lab pilot to a campus-wide go-live.
Many projects get stuck at "works in the test environment but fails on go-live" — the problem usually isn't the product itself, but inadequate deployment planning.
IDV5 cloud-desktop core engine — centrally managed, locally executed; the larger the deployment, the easier it gets
The core workload of deployment lies in the image. vDisk delivers all terminals from a single master image; the desktop runs locally on the terminal and directly calls the machine's own CPU / GPU, so professional software runs without lag. The V5 server is rewritten in Go for multi-platform deployment, with delivery supporting resumable transfers and use-while-downloading, and distribution using a dual BT / chained mode — the more terminals there are, the faster it gets, which is precisely the capability large-scale deployment needs most.
From server setup and network planning to master image creation and phased rollout, every stage is backed by the corresponding capability
Supports multiple deployment methods—physical machines / virtual machines / Docker / Xinchuang platforms—with the V5 server rewritten in Go for cross-platform use.
Assess lab bandwidth and switching capacity, and pair with BT/chained distribution to avoid saturating the network during peak rollout.
One master image with the system and teaching software installed manages heterogeneous endpoints uniformly—one-click push and instant differential updates.
Network diskless mode is ready to use instantly, partial-cache reads on demand, and full-cache works offline; choose based on disk and network conditions.
Switch in batches by lab room / floor / campus, keeping a parallel window with the original environment for a smooth, rollback-capable transition.
Full-stack compatibility with Kunpeng/Phytium/Loongson/Hygon + UnionTech UOS / Kylin OS, with driver compilation provided.
30-second system restore means a clean machine on every reboot; keep updating the master image and roll back anytime, so deployment hiccups are no cause for panic.
Graphical ROM + WeChat Mini Program remote management let administrators add software and apply patches on their own.
From server setup to campus-wide rollout, every step has clear deliverables and acceptance—steady and reliable, no derailments.
Inventory endpoint models, teaching software, lab network and disk capacity, then determine the server form (physical machine / virtual machine / Docker / Xinchuang) and configuration list.
Deploy the V5 server, configure storage and network planning, and set BT/chained distribution strategy and default boot mode based on the lab's bandwidth.
Build one master image with the OS and software preinstalled, push it to heterogeneous endpoints with a single click to validate BIOS/UEFI dual boot and compatibility, and apply differential updates that take effect immediately.
Pilot one lab to determine the optimal combination of network / partial caching / full caching, and validate boot time, restoration results, and the success rate of concurrent deployment.
Switch in batches by floor/campus while keeping parallel windows, complete administrator training, template policies and Mini Program inspections in parallel — self-maintainable upon delivery.
One platform, deployed flexibly to suit lab size, network and endpoint conditions.
With ample terminal disk space and a focus on ultimate smoothness, full caching keeps everything local, working as usual even offline with performance on par with a physical machine.
Old machines with small disks can't hold it all; partial-cache reads on demand and uses only what you need, so even legacy terminals can run it.
Full-stack compatibility with Kunpeng/Phytium/Loongson/Hygon + UOS/Kylin OS, with driver compilation provided by the manufacturer.
Multi-server load balancing and cross-terminal data roaming, with console plus Mini Program for centralized cross-campus control.
Get the three essentials right: installs smoothly, runs stably, scales reliably
Dual BT/chained distribution with terminals automatically seeding and sharing—the larger the rollout, the faster delivery becomes.
One master image covers multiple brands and batches with BIOS/UEFI dual boot—fewer images to build, fewer pitfalls.
Kunpeng/Phytium/Loongson/Hygon + UnionTech UOS / Kylin OS—domestic deployment with no driver bottlenecks.
Keep a parallel window and continue updating with rollback anytime, so go-live issues don't disrupt normal teaching.
It can be installed on physical machines, virtual machines, Docker and Xinchuang platforms; the V5 server is rewritten in Go and cross-platform.
Standardized implementation plus admin training—the GUI and Mini Program let your team handle O&M on their own.
Learn more and build the overall deployment plan best suited to you
An all-in-one management platform integrating cloud desktops, IoT central control, timetable linkage, and Mini Program management.
Teacher and student clients share one image deployed with the cloud desktop, completing screen broadcast, monitoring, and assignment handout/collection in one place.
Cloud desktop + e-classroom + IoT central control in one, delivering integrated computer-lab construction.
See how other schools and organizations went from pilot to full network-wide rollout, step by step.
Request a trial, and we'll provide a practical server configuration and rollout plan based on your endpoint scale, network, and Xinchuang requirements.