This page focuses on the Chengcheng vDisk converged cloud desktop platform's local-run scenario: the platform deploys and maintains the teaching system centrally, while course apps use the endpoint's own CPU, GPU, and peripherals. Choose network boot, half cache, or full cache based on hardware, OS, and network; when offline use is needed, first confirm local data is complete, then verify boot, app licensing, and file access. The platform also supports VDI virtual desktops and remote publishing of physical PCs, with deployment and access requirements checked separately.
Decide where apps run first, then check endpoint, server, network, and peripheral requirements
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Centralize day-to-day maintenance, and validate course results with a pilot on target endpoints
The master image and policies are maintained centrally, and local desktops use the endpoint's own computing. It solves maintaining course software PC by PC and not knowing update status; whether it suits design or simulation courses must be tested on representative models for drivers, apps, and peripherals. Network boot and half cache still depend on the network; a full local cache also needs separate verification of offline boot and course apps.
Every capability must map to deployment conditions and observable acceptance results
Course apps use the endpoint's own CPU/GPU. Validate OS, GPU drivers, software licenses, and peripherals on representative models first; local running doesn't imply the same performance for every app.
Requires a local desktop that's fully on local storage and verified. Test course apps, licenses, personal files, and external services separately; a bootable system doesn't mean online services work.
Choose network boot, half cache, or full cache by endpoint hardware and network. Network boot can't promise offline use, and half cache isn't equivalent to full cache just because some data is present.
For target models on the same OS and architecture, check BIOS/UEFI, drivers, and course apps first. Check images and boot packages separately for different OSes and CPU architectures.
Set restore or read-write policy by actual access mode. After a restart, check apps and test files; record recovery time in the target environment rather than guaranteeing a fixed number of seconds.
Organize distribution following the current download and merge manual. Watch task status, endpoints' current version, links, and storage load separately; there's no promise that more endpoints means faster, or zero server load.
Manage personal network disks and system images separately; verify user permissions, file saving, and access from a different endpoint first. Whether a target lab environment is supported depends on app and storage pilot results.
Check the supported range by CPU architecture, OS version, kernel, boot, and installer; an image for one architecture can't be used directly on another.
First judge fit against course goals and existing equipment, then decide how to deliver desktops
When existing endpoints can handle the courses, evaluate local running with central maintenance. Validate with real models, GPU drivers, and peripherals; architecture names don't guarantee frame rates.
Plan teaching and exam environments separately; validate image versions, apps, data saving, and network requirements in advance, and switch and recheck after the exam as the exam organization requires.
If offline is required, first get data fully local, then disconnect and verify boot, app licensing, and file access. Online exams and online materials still need network.
First separate three paths: local running, VDI access, or upgrade/replace. If local compute isn't enough, consider server-side virtual desktops, but also check concurrency, network, graphics, peripherals, and licensing cost.
Roll out in batches during maintenance windows, back up first, and keep a verified rollback path
Review terminal models, disk capacity, network bandwidth and software versions to determine the right combination of network / partial-cache / full-cache modes.
Prepare images by OS and architecture, validate boot, drivers, course software, and peripherals on representative models, and record which endpoints can share and which need separate handling.
Check download, merge, and the running version first, then verify app launch, restart restore, and file retention; test offline needs separately.
Push in batches by group and watch task status, links, and storage load. Verify the rollback method before widening the scope, and don't treat a finished download as the system already switched versions.
Set up image templates and scheduled tasks, run an operations dashboard plus SSD health alerts, and review weekly and monthly for continuous optimization.
Shanghai Chengcheng Information Technology Co., Ltd. has focused on desktop virtualization for years, turning architectural advantages into real-world operations
Local desktops use endpoint resources; course performance depends on the target model, drivers, apps, and data, so run real course tasks during the trial.
Verify full cache and course dependencies separately. Offline capability doesn't include running through a power outage, nor replace online licensing, external services, or network data access.
Check endpoint health, compute, and drivers first; underpowered old machines can be evaluated as VDI access devices, with no promise that every old machine can be reused or for how many years.
Schedule download, merge, and restart activation per the current manual; record batch distribution results under real network and storage conditions, and keep the state of failed tasks for troubleshooting.
Check the specific hardware architecture, OS and kernel versions, installer, and course software; the supported range follows current documentation and pilots in the target environment.
Standardized implementation process, remote support, and managed O&M—accompanying you from pilot to full rollout.
Discover the complete platform and supporting capabilities behind the IDV cloud desktop
Converged VDI/VOI/IDV desktop management, plus IoT central control, timetable integration, and mobile app management; check deployment conditions for each scenario.
Teacher and student clients share a single image, delivered from the same source as the cloud desktop, handling screen broadcast, monitoring and assignment exchange in one place.
IDV cloud desktop + electronic classroom + IoT centralized control in one—integrated computer lab construction.
See the real O&M changes after universities, vocational schools, and enterprise labs deployed IDV cloud desktops.
The conditions below were checked against the current manual on 10/22/2026; they are not on-site test results for your lab.
It needs a local desktop that's fully local and verified; network boot and half cache can't promise offline use based on partial caching. Network dependencies of course apps, licenses, files, and external services must also be verified separately.
Check download, merge, and the running version separately. Depending on automatic, manual, or scheduled settings, a running system may switch versions only after a restart in a maintenance window; then verify course apps and files.
First weigh local running, conversion to VDI access devices, or upgrade/replacement. VDI computes on the server side, but server concurrency, network, graphics, peripherals, licensing, and data saving still need verification, with no promise for every old machine or a fixed service life.
Operating references:Deployment and boot modes,Download and merge,Manual merge,Scheduled merge,Access Mode,VDI Deployment.
Bring representative models, course software, file-saving requirements, and your maintenance schedule; during the trial, check version activation, course running, files after restart, and rollback results.