IDV (Intelligent Desktop Virtualization) runs the desktop locally on the endpoint, while VOI (Virtual OS Image) keeps the image on the central side for endpoints to invoke on demand. Neither makes the other obsolete; each excels in different scenarios. This article lays out a point-by-point comparison of principles, performance, operations, network dependence, and applicable scenarios; the conclusion: rather than choosing between IDV and VOI, use vDisk's converged multi-mode of network / semi-cache / full-cache to capture the strengths of both architectures on one platform with one image.
The names look alike and both fall under "desktop virtualization," but the execution location, network dependency, and management approach are entirely different — choosing wrong leads to high later rework costs.
The IDV5 cloud desktop core engine — centrally managed and locally executed, with network / partial caching / full caching flexibly configured by machine model and scenario.
vDisk is built on the IDV5 engine: the desktop runs locally on the terminal with performance on par with a physical machine, while images are delivered uniformly and centrally managed on the backend. The boot method is not locked in — labs that demand high performance and offline availability use full cache (close to the IDV experience), while standard labs with thin terminals that need second-level rollout use network / semi-cache (close to the VOI experience), all differentiated from the same master image and the same console.
From where it runs, to performance, network, operations, and use cases, see clearly the boundaries of each and how they combine.
| Comparison Dimensions | IDV | VOI | vDisk converged architecture |
|---|---|---|---|
| Runtime Location | Desktop runs locally on the endpoint | Pull the image from the central end and boot locally | Local execution + centralized back-end control: fully cached, close to IDV, networked close to VOI |
| Performance Experience | Directly drives the local CPU/GPU for heavy workloads | Depends on the network and cache | Always uses local compute power, with performance on par with a physical machine — 3D and simulation run smoothly. |
| Network Dependency | Strong availability on weak or offline networks | Heavily dependent on network and servers | Fully cached for normal use when offline; BT distribution eases concurrency pressure |
| O&M Control | More device models means scattered images | Centralized distribution, unified versions | One image manages heterogeneous terminals, with differential updates taking effect instantly |
| Terminal Requirements | Requires a local disk and a certain spec | Supports thin clients, low requirements | On-demand half-caching footprint, runs even on old small disks |
| Use Cases | Training / design / exams | Standard computer lab / office | Mixed grouping on the same platform, freely switching by classroom or by business |
It's not just "merging two architectures" - it turns the agonizing choice between them into a simple configuration option
Freely switch among network, semi-cache and full-cache modes, with separate settings for different models in the same lab—balancing performance and speed.
One master image manages multiple brands and models with BIOS/UEFI dual boot, eliminating the need to build an image per model.
Already-downloaded terminals automatically seed and share, so the more you distribute the faster it gets, breaking the VOI concurrent-boot bottleneck.
Clean on reboot: no matter the mode, restore to a pristine system with one click.
Full-cache mode caches everything locally, so server or network failures don't disrupt classes.
The personal network disk in the teaching space works just like a local system disk; lab environments can run directly and roam across terminals.
Adapted for Kunpeng / Phytium / Loongson / Hygon, with native support for UOS / Kylin OS and driver compilation provided.
Resumable transfer and use-while-downloading: if power is cut and the device restarts mid-deployment, transfer resumes automatically without corrupting the image.
One vDisk platform, grouped by use case and with modes chosen per classroom
Large professional software demands local compute—use full cache: physical-machine performance that even runs offline.
For identical terminals that need second-level rollout, use network/half-cache with on-demand reads and unified image updates.
Deploy the exam image separately in full cache—offline to prevent cheating, with a clean 30-second restore after the exam.
Thin clients use network mode for centralized control, with permissions and peripherals governed by unified policies.
With the vDisk converged platform, you don't have to bet everything on one choice — you can fine-tune step by step.
Group by course software type, hardware generation and classroom usage frequency, defining clear performance and delivery targets for each group.
Heavy-load or offline cases use full cache, standardized/thin endpoints use network semi-cache—configure each from a single console.
Start with 1-2 model lab rooms to validate the image strategy, network links, and restore performance, then replicate in batches.
Once a standard image and handling manual are in place, roll them out network-wide, run a monitoring dashboard, and keep optimizing based on data.
The most frequently asked questions about IDV, VOI, and vDisk converged deployment
No need. The same vDisk platform supports network, half-cache, and full-cache modes — just configure per classroom and per device model.
Yes. Partial caching uses space on demand and even old, small drives can run it; we recommend tiered onboarding by hardware capability.
Full-cache mode caches everything locally, so classes continue offline—no more heavy reliance on the server or network.
BT/chained distribution turns downloaded endpoints into seeds that share automatically—the more deployed, the faster, with near-zero server load.
Works with existing AD domains, on-campus authentication, and the current network architecture, reducing replacement costs.
With phased rollout and rollback windows that keep a parallel environment, classes generally needn't be interrupted.
Learn more and combine them into the overall solution that fits you best
An all-in-one platform combining IDV/VOI multi-mode, IoT centralized 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 + electronic classroom + IoT central control as a trinity for integrated lab construction.
See how different schools and institutions use the vDisk converged architecture to complete IDV/VOI selection and migration.
Apply for a trial, run your real labs through grouping, and see just how many staff hours the converged multi-mode approach saves and how much more stable it is