Leo · 2026-10
An AI NAS with hardware transcoding converts video streams in dedicated silicon instead of on the main processor. Transcoding means changing a video’s resolution, bitrate or codec so a client device can play it smoothly. For a buyer, that distinction decides how many simultaneous streams the appliance can serve, and it rarely appears on the marketing page.
This checklist is for the person writing the specification: an integrator quoting a review station, a distributor choosing a SKU, or a brand planning a media-capable appliance. It covers what transcoding hardware does, how to size it against real workloads, and which numbers to demand in writing.

Video arrives compressed and must be decoded before anything can analyze, display or replay it. Software decoding pushes that work onto general-purpose CPU cores, which is fine for one stream and painful for six. Hardware decoding hands the job to a fixed-function video engine built into the system-on-chip. The processors stay free for indexing, AI inference and file services.
The practical result is predictable behaviour. A review station that scrubs four camera timelines while an AI model classifies new events keeps its interface responsive, because the decode engine carries that load separately.
Two hardware details decide the outcome when you compare platforms. The first is whether the chip includes a dedicated video engine at all. The second is the display path, because a local monitor needs an output resolution that matches the footage.
Not every deployment touches the video engine. Direct play passes a stream through untouched when the client can handle the original format, which is the cheapest outcome for everyone involved.
If your customers only ever direct-play to modern clients, a transcoding specification is wasted money. If they review footage from a shop floor, they will hit the ceiling on day one.
The table below compares the paths rather than the products, because the path is what you are buying.
| Decoding path | Where the work happens | What it means for the buyer |
|---|---|---|
| Dedicated video engine in the SoC | Fixed-function hardware block on the chip | Several streams at once, with the CPU left for AI and file services; verify the engine exists and the display output matches your footage |
| Software decode on CPU cores | General-purpose cores | Cheap to specify, quick to saturate; acceptable for one viewer, awkward for a room full of them |
| Cloud round trip | Provider infrastructure | Elastic capacity, per-GB and per-seat charges, plus the latency and data-path questions your compliance team will reopen |

Three calculations cover the sizing conversation, and all of them use figures you already have.
Take a 25 Mbps 4K stream. One hour occupies 25 u00d7 3,600 u00f7 8 = 11,250 MB, or about 11 GB. At its nominal rate a 2.5GbE link carries 100 such streams before any protocol overhead, so the arithmetic is worth running even though the answer is generous. The link is almost never the constraint. The appliance’s own decode capacity is, and that number is exactly what a spec sheet tends to omit.
Now size the archive. Sixty cameras generating 200 events a day, with an 8 MB clip per event, produce 60 u00d7 200 u00d7 8 = 96,000 MB, or about 96 GB per day. Across a year that reaches roughly 34 TB before duplication. A four-bay appliance with a 120 TB published ceiling absorbs it, but only if the drives are planned at the start rather than bought in panic later.
Marketing pages advertise camera counts, which are a licensing or interface figure more often than a compute figure. The numbers that predict real behaviour are narrower.
Ask for the concurrent session count in writing and design the customer promise around it. That single number prevents the most common post-installation complaint: footage that plays for one viewer and stutters for four.
Picture a systems integrator equipping a sixty-camera retail site. Store managers want to pull up an incident on a display in the back office, scrub backwards, and hand the clip to a regional manager who reviews remotely. Three review sessions might run at once during a shift handover.
The trap here is specification by camera count. Sixty cameras sound demanding, yet most of them record and never get watched. The actual load is three simultaneous decodes plus a local 4K display, which is a different requirement entirely.
The woCyber <a href="products/x4-nas-server“>X4 is the platform we would point to for this shape of job, because it pairs Intel N100 hardware with 4K transcoding, HDMI output at 4K 60 Hz, two 2.5GbE ports with a theoretical aggregate of 5 Gbps, and RAID 0/1/5/6/10 across four tool-free bays. For deeper background on how AI features behave once deployed, <a href="ai-nas-security-features-to-verify-before-deployment“>this verification checklist covers the checks worth repeating after handover.
Write the capability into the acceptance criteria. State the number of concurrent sessions you will demonstrate, at which resolution, and on which display. Ambiguity at that line is where disputes begin.

Storage planning usually separates hot review data from long-term archive, and one appliance can serve both if the tiering is deliberate. Keep event clips on the faster volume, push completed retention windows to a slower set of drives, and let the AI layer index both.
If that structure is new to your team, <a href="enterprise-nas-cold-data-storage“>this tiering plan is one you can copy, and <a href="ai-nas-backup-systems“>this guide to AI-era backup covers what a backup policy looks like once AI-generated metadata becomes part of the data set. Neither step needs new hardware, only a decision about which volume receives which writes.

Two external references are worth keeping open while you compare claims. Intel publishes the specification page for the N100 processor, which lists Intel Quick Sync Video support and a maximum HDMI resolution of 4096 u00d7 2160 at 60 Hz. The HDMI specification overview maintained by the HDMI Licensing Administrator defines what those display figures mean on the client side. Pull both when a datasheet claims a capability that no one can trace.
Specification claims travel badly across borders, so pin them to documents. A useful request list covers the video engine, the session count, the display specification, the port configuration, and the compliance file set.
For woCyber, the published position is straightforward. Headquarters and R&D sit in Beijing, mass production runs in Shenzhen, and the compliance set is CE / UKCA / FCC / RoHS / REACH / WEEE. The minimum order is a per-project minimum, with a 1,000-unit threshold when a project needs a new PCB spin or tooling. Samples are billed at the published unit price and credited against the first production order.
Warranty and payment terms are confirmed in writing at quotation, which is the honest answer for a hardware program of this kind. The products hub page lists platforms with their published bay, port and capacity figures if you want to shortlist before requesting samples.
These five questions come up whenever a buyer moves from camera counts to compute requirements.
It moves video conversion from the general-purpose CPU to a fixed-function engine in the system-on-chip. The processor is then free for indexing, AI inference and file services, which is why a machine with a video engine feels responsive during multi-stream review and a machine without one does not.
The link is rarely the limit. Two 2.5GbE ports offer a theoretical aggregate of 5 Gbps, far more throughput than typical review traffic needs. The binding constraint is the platform’s decode capacity, so ask the supplier for a concurrent session figure rather than inferring one from the port speed.
Usually not, and paying for it wastes budget. Direct play passes footage through without conversion, so the work never reaches the video engine. Add transcoding to the specification when you know some viewers use older clients, smaller screens or constrained remote links.
Multiply cameras by events per day by clip size to get a daily figure. Sixty cameras at 200 events of 8 MB each reach about 96 GB per day, or roughly 34 TB across a year. Add duplication and retention growth before selecting drives or bays.
Ask for concurrent session counts, supported decode formats, display resolution and refresh rate, port configuration, memory, and the compliance documents shipped with the goods. Turning each claim into an acceptance test at handover is the simplest protection against a specification that only existed on a web page.
One last habit pays for itself. Photograph the running configuration at handover, note the firmware version, and keep the acceptance test result with the commissioning file. When a customer calls eighteen months later about playback, that record shortens the conversation considerably.
woCyber AI NAS runs detection, analysis and local storage on-device u2014 your data stays on your own hardware, with no monthly cloud fees.
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