A cloud desktop isn't finished once the software is installed; what matters is getting it to land: where the server goes (physical machine / virtual machine / Docker / Linux platform), how the network is planned, how the master image is made, whether to use network boot, half cache, or full cache, and how to switch over in batches without disturbing classes. The Chengcheng 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 in one click to manage mixed endpoints. This five-step deployment flow takes you steadily from a single-lab pilot to a whole-school rollout.
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 physical machine / virtual machine / Docker / Linux platform deployment, and the V5 server is 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 support for x86 and ARM64 with Linux, and driver builds 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.
Take stock of terminal models, teaching software, the lab network, and disk capacity, then settle the server form (physical machine / virtual machine / Docker / Linux platform) and its 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 support for x86 and ARM64 with Linux, with driver builds from the vendor.
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.
x86 and ARM64 plus Linux, so a move to Linux doesn't get stuck on drivers.
Keep a parallel window and continue updating with rollback anytime, so go-live issues don't disrupt normal teaching.
Installs on physical machines / virtual machines / Docker / Linux platforms, and the V5 server is rewritten in Go for cross-platform use.
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 give a workable server configuration and rollout plan for your terminal count, network, and Linux requirements