Zettlab D6 NAS Review

Zettlab D6 AI NAS Prototype Review – A Glimpse at the Future of Local AI NAS?

The Zettlab D6 represents a compelling entry into the increasingly competitive world of AI-integrated network-attached storage. Developed by a relatively new player in the market, Zettlab is attempting to blend traditional NAS functionality with localized artificial intelligence features, positioning its devices as intelligent storage hubs capable of far more than simple file serving or backups. It’s important to emphasize from the outset that the Zettlab D6 — and its siblings in the D4, D6 Ultra, and D8 Ultra series — are still under development, with the company preparing to launch these systems via crowdfunding rather than established retail channels. This distinction is not trivial: what we’re looking at here is a prototype, an early production model meant to demonstrate core functionality, not a finalized consumer-ready product. As such, this review assesses both the current capabilities and the projected potential, while keeping in mind the expected evolutions that may come post-launch.

This review is based on a pre-release prototype of the Zettlab D6, supplied ahead of the official crowdfunding campaign. While the unit demonstrated strong hardware build quality and successfully showcased many of the local AI features promoted by the brand, it’s important to note that this version may not fully reflect the final product that backers will receive. As development continues, both software and functionality are expected to evolve. A follow-up video will be produced closer to the end of the crowdfunding campaign to reassess the system, evaluate any updates, and determine how closely the final release aligns with early expectations.

BUILD QUALITY - 8/10
HARDWARE - 8/10
PERFORMANCE - 6/10
PRICE - 9/10
VALUE - 9/10


8.0
PROS
👍🏻Real local AI processing (image recognition, OCR, transcription, semantic search) works without internet access on the D6.
👍🏻Intuitive natural language commands for system control (e.g., adjust fan speed, create users, reboot) via built-in AI chat. But still very early days...
👍🏻Excellent LCD display provides real-time system stats (CPU, RAM, IP, disk status) — rare at this price point.
👍🏻Fast and responsive UI with good UX; even advanced features like RAID setup and AI search feel snappy and polished, if a little feature lite at this development stage
👍🏻One-click SD card backup with programmable automation tasks (copy, transcode, eject) — ideal for photographers and creators.
👍🏻Unique design and solid build quality
👍🏻Fully populated app center, thanks to the community, ready packaged container deployment at 1 click
👍🏻Clear product segmentation between D6 and Ultra models (better AI support, faster connectivity, PCIe expansion), allowing users to scale as needed - but could be clearer about the need for an included 1-click local AI client model on the client app requirements.
CONS
👎🏻Not final software — many features are still in beta or marked “coming soon,” including VM hosting and first-party AI enhancements.
👎🏻Partial dependency on desktop client for advanced AI functions (like document chat and LLM integration) on the D6 model.
👎🏻Crowdfunding risks — as a pre-release, crowdfunded device, the final user experience may differ from the reviewed prototype.

Zettlab D6 AI NAS – Hardware Design

Positioned as a mid-tier offering in the range, the D6 occupies a unique spot in Zettlab’s portfolio. It’s more powerful than the compact 4-bay D4, but stops short of the considerable hardware resources found in the D6 Ultra and D8 Ultra. At the heart of the D6 lies the Rockchip RK3588, an ARM-based SoC (System on Chip) that features eight processing cores and an integrated NPU (Neural Processing Unit) capable of six trillion operations per second (6 TOPS).

This chip has become a popular choice for AI-at-the-edge applications due to its low power draw, reasonable performance, and growing developer ecosystem. Complementing the CPU is 16GB of LPDDR4x memory — soldered to the board and non-upgradable — which is ample for many NAS workloads but may bottleneck under high AI load or virtualization. Storage-wise, the system includes six SATA drive bays and a single M.2 NVMe slot for SSD caching or high-speed application hosting. The OS resides on a 32GB eMMC module, which, while functional, is slower and less durable than SSD alternatives found in higher-tier models.

By contrast, the Ultra-class models — the D6 Ultra and D8 Ultra — are built around x86 architecture, using Intel’s Core Ultra 5 125H processor. This CPU offers a dramatic leap in compute potential, with 14 cores (combining performance and efficiency cores), 18 threads, and an integrated AI engine capable of 34 TOPS. These devices support up to 96GB of DDR5 memory via SODIMM slots and include dual PCIe Gen 4 M.2 NVMe slots for storage or app caching. So, an important thing that potential buyers of the standard D4 and D4 model need to note is that this system arrives with ‘on board’ memory, not ‘SODIMM’. This is not uncommon on more ‘efficient’ CPU-powered systems, but AI processes can get really memory hungry and that fixed 16GB, although good to have ‘out the gate’ could potentially serve as a low glass ceiling for heavier ops later on.

Specification Zettlab D4 Zettlab D6 Zettlab D6 Ultra Zettlab D8 Ultra
Drive Bays 4-Bay 6-Bay 6-Bay 8-Bay
CPU RK3588 (8-core, 6 TOPS NPU) RK3588 (8-core, 6 TOPS NPU) Intel Core Ultra 5 125H (14-core, 34 TOPS) Intel Core Ultra 5 125H (14-core, 34 TOPS)
RAM 16GB LPDDR4x 16GB LPDDR4x 16GB DDR5 (up to 96GB) 16GB DDR5 (up to 96GB)
System Drive eMMC 32GB eMMC 32GB 256GB SSD 256GB SSD
M.2 NVMe Slots 1 1 2x PCIe 4.0 x4 2x PCIe 4.0 x4
Max Storage 100TB 148TB 152TB 200TB
RAID Support JBOD/0/1/5/6/10 JBOD/0/1/5/6/10 JBOD/0/1/5/6/10 JBOD/0/1/5/6/10
LAN 1GbE + 2.5GbE 1GbE + 2.5GbE 2x 10GbE 2x 10GbE
USB Ports 1x USB-C 3.0, 1x USB-A 3.0, 2x USB2.0 1x USB-C 3.0, 1x USB-A 3.0, 2x USB2.0 2x USB4, 1x USB-A 3.2 Gen2, 1x USB2.0 2x USB4, 1x USB-A 3.2 Gen2, 1x USB2.0
Display 3.49″ LCD 3.49″ LCD 3.49″ LCD 3.49″ LCD
SD/TF Readers SD4.0 + TF4.0 SD4.0 + TF4.0 SD4.0 + TF4.0 SD4.0 + TF4.0
PCIe Expansion None None SFF-8654 (PCIe 4.0 x8) SFF-8654 (PCIe 4.0 x8)

They also ship with a 256GB SSD for the operating system, eliminating the limitations of eMMC entirely. The D6 Ultra provides six drive bays like its ARM counterpart, while the D8 Ultra expands to eight, catering to users with higher storage demands.

Network interfaces also scale accordingly, with dual 10GbE ports on the Ultra devices, significantly improving throughput for AI workloads or media editing environments. This clear segmentation allows Zettlab to cater to both entry-level users and more demanding professional or prosumer environments.

Although the D6 is not as performance-heavy as the Ultra models, it still delivers a surprisingly mature and distinctive hardware design — especially for a product from a startup brand. Visually, the D6 breaks from the mold of black-box NAS devices with a more industrial design language. The drive trays are notably robust, offering support for both 3.5” and 2.5” drives without the need for tools, and include subtle shock absorption to reduce wear during hot-swaps. Behind the trays, a SATA backplane keeps cabling clean and ensures good airflow, aided by a rear-mounted fan.

The chassis is largely steel and aluminum, with solid build quality across panels and connectors. The front panel features a real-time 3.49-inch LCD display — one of the best I’ve seen in this price range — capable of showing system temperature, CPU and memory utilization, storage status, and network throughput.

This is complemented by an LED lighting strip and a programmable hardware copy button, as well as a comprehensive set of front ports including a USB-C and USB-A port (both USB 3.2 Gen 1), SD3.0 and SD4.0 card readers, and a TF card slot.

Connectivity on the D6’s rear I/O is functional, if modest by today’s standards. It includes one standard Gigabit Ethernet port and one 2.5GbE port — which, while useful for small workgroups or home streaming setups, may limit its viability in higher bandwidth environments.

USB 2.0 ports are also present, mainly for legacy peripherals or UPS/KVM support. There is a single HDMI 2.0 port capable of 4K output at 60Hz, which opens the door for potential direct media playback or GUI access, though its use cases are still undefined in the current firmware.

Notably missing is any PCIe expansion capability — a feature reserved for the Ultra models via their SFF-8654 Gen4 x8 connector. This omission makes sense in the product segmentation strategy, but prospective users who anticipate needing expansion — whether for faster networking, GPU acceleration, or additional storage — will need to look to the higher-tier models.

Still, for what it is, the D6 offers a complete and well-assembled foundation, and the early signs in terms of temperature control, acoustics, and system stability are encouraging.

Zettlab D6 – Software and Services Review

Before we get into exactly what this system can and cannot do, I need to highlight that the D6 prototype I received does not feel like a finished product yet. I have been monitoring this brand and it’s solution for 6 months (even having a different prototype sent to me as fast back as October 2024) and although I have seen ALOT of changes and improvements in the GUI, the software features, storage optimization, performance and consistency – the Zettlab OS does not feel finished yet.

The hardware feels robust and ready to go! But the software still feels like development is ongoing. This makes a lot of sense in the context of crowdfunding a product and I can appreciate that the brand needs real world feedback and development time. However, that does mean that reviewing the software is tough! As I have to balance what the system does TODAY against what the brand says it will be able to do TOMORROW. So keep that in mind as you read this software review.

One of the standout ambitions behind the Zettlab D6 is its integration of localized artificial intelligence. While most consumer NAS systems limit themselves to media management and basic data organization, Zettlab’s vision goes much further: a platform that applies real-time AI processing to images, audio, video, and documents — all without relying on cloud services.

This pitch is especially appealing in a world where data privacy is an increasing concern. In practice, the D6 delivers some truly novel capabilities, although it’s important to remember this software is still in active development. Not all features are complete, and the performance and behavior of certain AI tools are still subject to change.

The D6 runs on ZettOS, a proprietary operating system built around containerized apps, lightweight AI inference engines, and standard NAS functions.

ZettOS resembles a more refined version of a web-based Linux desktop, complete with user management, storage setup, application deployment, network configuration, and protocol support (SMB, FTP, WebDAV, etc.).

While the core system functions well, it’s the AI layer where things begin to differentiate the D6. ZettOS offers native support for facial recognition, object detection, OCR, and natural language search — all running directly on the device.

Image tagging, semantic queries like “men standing near trees,” and auto-transcription of audio and video files are examples of what’s already functional today.

One of the more impressive capabilities is real-time media classification. Photos added to the NAS — whether uploaded manually, copied via SD card, or moved over the network — are immediately scanned and indexed. Users can search for visual content by descriptive terms rather than filenames. For example, searching for “cats,” “dice,” or “flowers” surfaces content accurately, regardless of how files were named.

This indexing happens locally and often within seconds of upload, leveraging the RK3588’s integrated NPU. Similarly, when audio or video files are uploaded to designated folders, the system automatically transcribes them using onboard tools. The Clip application handles this, and within moments, transcripts appear with speaker identification and time-linked navigation.

The AI features are tied to a broader system of prompts and shortcuts. A dedicated “AI Chat” interface allows users to type commands like “increase fan speed,” “reboot the system,” or “create a new user.” Many of these commands work today and are executed promptly, showing promise for a more natural interface between user and NAS.

While it’s far from full AI orchestration, the groundwork is clearly there. The system also supports basic automation — for example, auto-import tasks triggered when an SD card is inserted can move, rename, or transcode files and even safely eject the card afterward. These are practical, time-saving tools that go beyond novelty.

ZettOS includes a growing App Center with one-click deployments of popular open-source tools like Jellyfin, Nextcloud, Image, and Home Assistant. Apps are containerized and installed quickly, with port forwarding handled automatically. While this is becoming common among modern NAS platforms, ZettOS executes it cleanly and without needing user intervention.

Some proprietary applications, such as Creator Studio and virtual machine hosting, are marked “coming soon” in the current builds, with roadmap estimates targeting mid-2025. It’s clear that while ZettOS is already usable, it is also a work in progress.

Notably, the AI document analysis and generative chat features currently require the desktop companion app for full functionality on the D6 model, with a locally downloaded AI model (1 click from the client software install, but still, this could be clearer in the online documentation!).

While the basic indexing and media analysis are handled on-device, more advanced interactions such as querying large document sets or generating context-specific answers appear to rely on the Windows or Mac client.

This distinction is critical: the more powerful Ultra models promise full offline AI, while the standard D6 offloads some computation. Transparency about how much AI is truly local versus partially remote will be key for user trust going forward.

Zettlab D6 Prototype Review – Conclusion and Verdict

Overall, the Zettlab D6 offers one of the most advanced AI software stacks seen in a consumer NAS at this level — even in its unfinished state. With real-time image recognition, semantic search, speech-to-text transcription, natural language controls, and media classification, it exceeds what many larger NAS brands have offered to date. There are still rough edges, missing features, and questions about long-term support, but what’s already functional is impressive. For early adopters and tinkerers, this is a promising glimpse of what local AI NAS could become. For others, it may be worth waiting to see how ZettOS matures over the next development cycle.

Important – This review is based on a pre-release prototype of the Zettlab D6, supplied ahead of the official crowdfunding campaign. While the unit demonstrated strong hardware build quality and successfully showcased many of the local AI features promoted by the brand, it’s important to note that this version may not fully reflect the final product that backers will receive. As development continues, both software and functionality are expected to evolve. A follow-up video will be produced closer to the end of the crowdfunding campaign to reassess the system, evaluate any updates, and determine how closely the final release aligns with early expectations.

PROS of the Zettlab AI NAS CONS of the Zettlab AI NAS
  • Real local AI processing (image recognition, OCR, transcription, semantic search) works without internet access on the D6.

  • Intuitive natural language commands for system control (e.g., adjust fan speed, create users, reboot) via built-in AI chat. But still very early days…

  • Excellent LCD display provides real-time system stats (CPU, RAM, IP, disk status) — rare at this price point.

  • Fast and responsive UI with good UX; even advanced features like RAID setup and AI search feel snappy and polished, if a little feature lite at this development stage

  • One-click SD card backup with programmable automation tasks (copy, transcode, eject) — ideal for photographers and creators.

  • Unique design and solid build quality

  • Fully populated app center, thanks to the community, ready packaged container deployment at 1 click

  • Clear product segmentation between D6 and Ultra models (better AI support, faster connectivity, PCIe expansion), allowing users to scale as needed – but could be clearer about the need for an included 1-click local AI client model on the client app requirements.

  • Not final software — many features are still in beta or marked “coming soon,” including VM hosting and first-party AI enhancements.

  • Partial dependency on desktop client for advanced AI functions (like document chat and LLM integration) on the D6 model.

  • Crowdfunding risks — as a pre-release, crowdfunded device, the final user experience may differ from the reviewed prototype.

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      33 thoughts on “Zettlab D6 NAS Review

      1. So if i plunk down my $20 deposit on the $899 D6 Ultra and then the 100% plus tariffs kick in, do I still pay just the $899 or will I also be on the hook for whatever the new tariff cost is?
        REPLY ON YOUTUBE

      2. why are more than half of your new videos member only? in the last 7 days you’ve released 12 videos with 7 of them being member only, Youtube premium seems pointless when more than half of your releases are locked under another tier of pricing….
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      3. The info the chat windows is giving to you seem to be exactly the same you get from the LLM you choose. Do not need external access or RAG (which adds to the knowledge of the LLM your data stored on the NAS). The client app is probably a customized version of some ollama client or similar app.
        Check your GPU and CPU usage while answering to know if is really using your PC resources or if it is making a call to some external API. If it is a really local app should be really heavy on your local resources. If the developer of the product wants really to sell they should be ultra transparent on this.
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      4. Not sure how all these companies can call these machines AI. They hardly have power. Real AI machines should be able to do powerful LLM’s which they wont be capable of doing unless you have some kind of NVidia chip or M4 or GPU. They would be seriously underpowered if one were to do some big LLM’s in this. If you already have a NAS get some comparable so called Mini AI PC’s do all the things mentioned in the video which in my opinion are all Marketing BS not real AI machines. Real AI machines will be capable of doing some serious LLM’s. Granted it will be capable of doing some small time LLM’s.
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      5. I didn’t work for this company and I did not look up information on the product, but from what you are showing, the software is allowing you to download an LLM from the Internet to run locally on your device. It is likely not doing any queries outside of the device, just utilizing the model loaded. You could do something similar using Ollama or LLM Studio. There is a method called RAG, I think, that can also use data pulled from the local media on the NAS (photos, docs, videos, etc) along with the LLM to do queries with both sets of data. Like I said, I didn’t have one and I’m just using my limited experience with the subject, but I didn’t think the device is doing any kind of Internet access except to download the models.
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      6. I believe they also said that at this time it’s not possible to expand raid pools. I want to use large drives, but can’t afford or justify getting 6 all at once. Hopefully that changes.
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      7. I have in my Home Server an AMD RX560 4gb and Ollama is running it with an 6b model it used for my Home Assistant speech command feature. And i use Stable diffusion with it as well.
        I mean the RX560 doesn’t beat my two Xeon E5-2683v4 R630 system in performance but definitely in power consumption. I mean for the same performance draws my R630 only for CPU and RAM 700W compared to the 75W of the RX560. My System Idles at 90W and with its current sate of use it uses 152W on only 2% load. SAS SSD Drives and RAM are heavily in use. My system has 768GB RAM with 24 sticks of ECC quadranked 32GB 2400mhz DDR4, those alone can use up to 10w per stick. Those alone could use up to 240w if 100% active.
        yeah, More VRAM would be nice for bigger models but i have a Space limitation and power limitation in my system. I think the RX560 is a good addition to my system. And for basic speech commands, Little helper for analysis and small Images this is good enough.

        About this Zettlaps Thing. Yeah, its nice but i need more than a NAS and an Ai accelerator. The compute power is way to low for my needs. I need Virtualization and not only Docker.
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      8. You did a superb demonstration of how AI isn’t ready for prime time. That bit about “Blue Peter” being a penguin character from Sesame Street seem to be an elaborate and entirely false hallucination.
        Of course, features like text searches and finding things in photos are really useful on a NAS, but that’s been possible for a *very* long time and doens’t need LLMs.
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      9. with the wide spread introduction of ryzen AI copilot+ capable systems and mac 4gen and nvidias DGX Spark /formerly known as digits/ I have high hopes that in 6-10 month-ish timeframe we will have natural human language interaction capable personal assistants, probably linux based self updating on the run systems that learn share and thrive very fast, so the next iteration of this ai nas might be the “Jarvis” or “Her” we all are waiting for 😀
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      10. Could you please do a video on how this unit handles Plex streaming? Will the base model be able to handle 4K streaming and if so how well? How many active streams etc?
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      11. You naughty boy! You’ve made me put down a deposit on this. I’ve been lurking in the background looking at the market as my little 2 bay QNAP is starting to fill up and getting long in the tooth. This looks smart and seems to have the features I’m interested in. The only thing that’s niggling is backup app availability (iDrive in particular).
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