Before deploying cloud desktops, many schools and labs worry most about these points: can classes still run when the network drops, do professional software lag, can old computers keep being used, do they conflict with electronic classrooms like Mythware, do Xinchuang machines get support, will data be lost, how does the system restore, and how to expand when capacity runs out. This page uses the real capabilities of the vDisk Converged Cloud Management Platform to address each of these questions clearly — no detours, no jargon piles, just telling you straight how it's actually done.
On the left are the concerns everyone commonly has; on the right are vDisk's real answers — compare them side by side and it's all clear at a glance.
IDV5 cloud desktop core engine — centrally managed on the backend, actually running locally.
The root of many questions is the assumption that "a cloud desktop must stream the picture from the server." vDisk does not — images are delivered uniformly on the backend, yet the desktop runs locally on the terminal and directly calls the machine's own CPU/GPU. That is why conclusions like "performance on par with a physical machine," "works offline," and "even old machines can run it" hold true: these are not marketing slogans but the way the architecture itself is designed.
Pull out each common question and give one actionable answer
Yes. Full-cache mode caches the entire image locally, so it boots and supports class as usual even offline; semi-cache reads on demand only on first use and does not rely on the network thereafter.
The desktop runs locally on the endpoint and directly leverages the local CPU/GPU, so heavy software such as 3D, CAD, video editing and simulation performs on par with a physical machine.
Yes. Partial/full caching uses storage on demand, so even old small drives can run it; one image is compatible across multiple brands and batches, saving a chunk of the terminal-upgrade budget.
No conflicts. The built-in cc-class shares the same origin as the cloud desktop, with UDP auto-discovery that requires no IP configuration and no port conflicts; existing classroom software can also be used in parallel.
Full-stack adaptation for Kunpeng/Phytium/Loongson/Hygon CPUs, native support for UnionTech UOS and Kylin OS, with driver compilation and adaptation services.
No. Restoring the system drive does not affect personal data—assignments and lab work are stored in the personal cloud disk of the teaching workspace, with cross-terminal roaming and multi-server load balancing.
30-second system restore — reboot returns to the master image; the smart learning mode retains local drivers and personalized settings, so no re-adaptation is needed after restore.
New machines are managed as soon as they connect; BT/chain distribution makes mass deployment faster the more you push; master-image upgrades are pushed with one click, differential updates take effect immediately, and rollback is available anytime.
From frontline operations to academic affairs, asset management, and information security, every team's questions can be answered
Edit one master image once and it takes effect across the entire lab; switch courses or software with a single push; a reboot restores a clean state after any fault; and remote inspection is available via the WeChat Mini Program.
Import the timetable or fetch it in real time via API to automatically power on/off and switch teaching desktops and policies by class, classroom and period — fully unattended.
No need. One image covers heterogeneous terminals — BIOS/UEFI dual boot from the same image keeps legacy machines in service and extends asset lifespan.
Real-name login authentication with queryable usage records; network control supports one-click switching among LAN-only / domestic-only / Internet, and exams can be silenced with a one-click black screen.
Implementation, upgrades, peripherals, exams—detailed questions for the deployment phase
The V5 server is rewritten in Go, with resumable downloads and use-while-downloading, a graphical ROM interface, and the ability to keep updating with rollback at any time—no fear of a botched upgrade.
Smart learning mode automatically saves each terminal's personalized drivers; once peripherals like printers and card readers are configured, they are retained with the snapshot, eliminating the need to reconfigure each machine.
Exam images are distributed independently; cc-class provides screen monitoring with patrol rotation, remote takeover, one-click blackout for silence, and network/USB blocking, with one-click restore once the exam is over.
The V5 driver is re-architected with SSD health alerts and a large-screen dashboard visualizing online rate and lab status, so failing drives are caught early and unexpected downtime is reduced.
BT/chained dual-mode distribution: terminals that have finished downloading automatically seed and share peer-to-peer—the more you push, the faster it gets, with virtually zero load on the server.
A standardized implementation process: pilot and validate in a single lab first, then roll out in batches, keeping a parallel-run window, backed by 7×24 remote support and managed operations.
Put your questions into concrete products and solutions to understand them better
An all-in-one platform combining cloud desktops, IoT centralized control, timetable linkage and Mini Program management — the central gateway to all the capabilities on this page.
Teacher and student clients share the same image and are delivered with the cloud desktop, supporting screen broadcasting, monitoring and assignment exchange — answering the question "does it conflict with Jiyu?"
Cloud desktop + e-classroom + IoT central control in one—from selection to deployment, explained clearly in one go.
See the real results from other schools and labs after going live — more convincing than any answer.
Apply for a trial and put your biggest concerns to the test in a real server room—offline operation, performance, restore and scaling all proven on the spot.