Zettlab OFFLINE AI LLM NAS – The D4, D6 and D6 D8 ULTRA

Last updated on 29 Apr 2025 📧 Subscribe
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1 A New AI Ready NAS Entering the Market – The Zettlab D4, D6/D8 Ultra
1.1 Key Highlights of the Zettlab AI NAS Range
1.2 Detailed Overview of the Zettlab AI NAS Models
1.3 Why Choose Offline AI LLM on a NAS?
1.4 Price, Release, and Availability of the Zettlab NAS Range
2 Need Advice on Data Storage from an Expert?

A New AI Ready NAS Entering the Market – The Zettlab D4, D6/D8 Ultra

UPDATE – The Zettlab AI NAS is Now Live on Kickstarter and you can find it HERE, or watch the Review of the D6 Here on YouTube.

Alternatively, there is an interview with the creators HERE

Zettlab has officially entered the network-attached storage (NAS) market, unveiling four new models—the D4, D6, D6 Ultra, and D8 Ultra—at IFA 2024 in Berlin. This marks Zettlab’s first foray into NAS, positioning these systems as AI-driven solutions for users who want advanced data management and media organization capabilities while maintaining control over their privacy. Unlike many NAS solutions that rely on cloud-based services, Zettlab’s systems offer AI functionalities that work entirely offline, catering to users who prioritize data security alongside advanced functionality. At IFA 2024, Zettlab introduced these NAS models with a focus on integrating local artificial intelligence (AI) tools that don’t require internet connections or third-party services such as ChatGPT or Google Gemini. The Zettlab AI NAS systems provide users with tools for smart data handling, enhanced search capabilities, and contextual media organization. As a result, the systems target professionals and businesses dealing with large datasets or media collections who need advanced tools to interact with and organize their data, without sacrificing privacy.

Key Highlights of the Zettlab AI NAS Range

The Zettlab AI NAS models bring several features that distinguish them from other NAS solutions on the market. These features focus on integrating AI-driven tools locally, which could be especially valuable for users who manage sensitive data. Below are some of the most notable highlights:

  • Local AI LLM Support: The Zettlab NAS systems are designed to support AI tools that can function offline. This includes language models (LLMs) that can help with tasks such as natural language database queries, photo recognition, and document management. The AI functions are embedded within the NAS, eliminating the need to connect to external servers.
  • Performance Hardware: Each NAS model is equipped with hardware designed to support demanding workloads. The D6 Ultra and D8 Ultra models come with Intel Core Ultra 5 processors, which provide up to 34 TOPS of AI processing power, making them well-suited for users handling large-scale data operations. The D4 and D6 models, while lower in performance, still offer strong AI capabilities using the RK3588 processors, suitable for less intensive tasks.
  • Multiple Drive Bays for Storage Flexibility: The D4, D6, D6 Ultra, and D8 Ultra models come with 4, 6, 6, and 8 drive bays, respectively, allowing users to tailor their storage capacity based on their specific needs. These drive bays support RAID configurations, offering data redundancy and performance improvements.

  • AI-Powered Media and Data Management: AI tools within the Zettlab NAS systems can automatically sort and categorize media files, such as photos and videos. These tools can also assist with text-to-speech, text-to-image generation, and enhanced search functions, making data management more intuitive and efficient.
  • Advanced Connectivity Options: All models in the Zettlab NAS range feature advanced connectivity, including dual USB4 ports and dual 10GbE LAN ports (in the higher-end models). This ensures fast data transfers and seamless network integration, especially important for enterprise-level tasks.
  • Scalable RAM and Storage: The D6 Ultra and D8 Ultra models feature 16GB of DDR5 RAM, expandable up to 96GB, ensuring they can handle memory-intensive tasks and AI workloads. These models also include M.2 slots for SSD caching, improving performance for frequently accessed files and applications.

Detailed Overview of the Zettlab AI NAS Models

Each model in the Zettlab NAS range is designed to cater to different user needs, from small-scale personal data management to enterprise-level storage solutions. Below is a detailed comparison of the hardware specifications for each of the four Zettlab AI NAS models:

Model D4 D6 D6 Ultra D8 Ultra
Drive Bays 4 SATA Bays 6 SATA Bays 6 SATA Bays 8 SATA Bays
Processor RK3588 (8 Cores, 6 TOPS NPU) RK3588 (8 Cores, 6 TOPS NPU) Intel Core Ultra 5 (14 Cores, 18 Threads, 34 TOPS) Intel Core Ultra 5 (14 Cores, 18 Threads, 34 TOPS)
RAM 16GB LPDDR4x 16GB LPDDR4x 16GB DDR5 (expandable to 96GB) 16GB DDR5 (expandable to 96GB)
Storage 100TB (expandable) + M.2 SSD (included) 148TB (expandable) + M.2 SSD (included) 152TB (expandable) + PCIe SSD (included) 200TB (expandable) + PCIe SSD (included)
LAN Ports 2.5GbE + 1GbE 2.5GbE + 1GbE Dual 10GbE Dual 10GbE
USB Ports 1x USB4, 1x USB3, 2x USB2 1x USB4, 1x USB3, 2x USB2 2x USB4, 1x USB3 2x USB4, 1x USB3
m.2 tbc (x1 slot) tbc (x1 slot) PCIe 4.0 x4 PCIe 4.0 x4
LCD Display 3.49-Inch 3.49-Inch 3.49-Inch 3.49-Inch
HDMI Output 4K 4K 4K 4K

The Zettlab D4 is designed for smaller environments that need a balance of AI capability and cost-effectiveness. It features the RK3588 processor with AI-enhanced features like media categorization and natural language queries, but is limited to four SATA bays and a 16GB RAM ceiling. This makes it ideal for home users or small offices.

The Zettlab D6 expands on the D4 by offering six drive bays for more substantial storage requirements. It still uses the RK3588 processor but includes more connectivity options, making it a better choice for users with larger data sets who need more flexibility.

The Zettlab D6 Ultra steps up significantly in performance, featuring an Intel Core Ultra 5 processor with 14 cores and 18 threads. This model is intended for users who require high processing power for AI tasks and data management. It also includes dual 10GbE LAN ports, significantly faster network connections, and expandable memory up to 96GB.

At the top of the range is the Zettlab D8 Ultra, which mirrors the D6 Ultra in terms of processing power but offers eight drive bays, making it the best option for enterprises or users with extensive storage needs. It supports large-scale data redundancy through RAID configurations and includes advanced PCIe SSD storage options for faster read/write speeds.

Why Choose Offline AI LLM on a NAS?

One of the most notable features of the Zettlab AI NAS range is its ability to run AI language models (LLMs) locally, without the need for cloud services or third-party platforms.

There are several reasons why this might appeal to users:

  1. Enhanced Data Privacy: Many organizations are moving away from cloud services to ensure that sensitive data isn’t exposed to external servers. By using an offline LLM, Zettlab NAS devices allow users to interact with their data through natural language queries without risking security breaches. For instance, a company managing confidential customer information can ensure that the data never leaves its own servers while still benefiting from AI-enhanced queries and reports.

  1. Natural Language Database Queries: Instead of manually filtering data in a traditional database using complex SQL commands or Excel filters, users can simply ask questions in plain language. Examples include:
    • “List all clients who made purchases over $5,000 in the last two years.”
    • “Show all product orders from repeat customers in 2023.”

    These queries are processed locally, making it easier for non-technical users to interact with large datasets and extract valuable information quickly.

  1. Document Analysis: For organizations that handle large volumes of text documents—such as HR records, medical files, or customer reports—an offline LLM can summarize or search these documents based on user queries. For example:
    • “Summarize the work history of employees who have been with the company for more than five years.”
    • “Show all clients who received a performance report in Q1 2024.”

    This functionality reduces the need for manual searching and speeds up decision-making processes.

  1. AI-Enhanced Media Organization: Zettlab NAS devices also support AI-powered media management, such as photo and video recognition. This can be particularly useful for creative professionals or businesses with large media libraries. Users can ask for specific types of images without needing to manually sort through folders. Examples include:
    • “Show all photos of meetings with clients.”
      • “List all images of outdoor events.”

  1. Reduced Dependency on Cloud Services: By keeping all AI functionalities offline, Zettlab NAS systems reduce the dependency on cloud-based services, which often require monthly subscriptions and can introduce latency or downtime if the internet connection is unstable. This makes Zettlab NAS systems more cost-effective and reliable for businesses that need consistent, uninterrupted access to their data.

  1. Security Concerns with External AI: Many companies are hesitant to use cloud-based AI services because of concerns about data privacy. Even when companies like Google or Microsoft offer assurances, the fear of data leaks remains. Using an offline LLM on a NAS mitigates these concerns, as all processing happens locally, within the company’s infrastructure.

Price, Release, and Availability of the Zettlab NAS Range

Zettlab has not yet announced official pricing for the D4, D6, D6 Ultra, and D8 Ultra models, but they are expected to launch in late 2024 or early 2025. These NAS devices will be initially available through Zettlab’s own sales channels, with the potential for broader distribution later on, depending on demand. Given the hardware capabilities and AI-focused features, these systems are likely to be positioned at a higher price point than traditional NAS models. However, the cost may be justified for users who need advanced AI-driven functionality in data management and media organization, along with the privacy of an entirely offline system. As the release date approaches, more details on pricing and regional availability are expected to be announced.

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      130 thoughts on “Zettlab OFFLINE AI LLM NAS – The D4, D6 and D6 D8 ULTRA”

      11. Appreciate the detailed breakdown! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (air carpet target dish off jeans toilet sweet piano spoil fruit essay). What’s the best way to send them to Binance?
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      13. So once all files are added to the AI’s database, does that mean every user using the search function can see everyone else’s uploaded data? Even sensitive personal stuff? If that’s the case, that’s really disappointing. It’s a security risk – like, what’s the point of having access controls then?
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      14. I just setup my ugreen dxp. Do you think I should return it and wait for this to be released. I really like the AI features with photos, videos and docs. I have a ridiculous amount of duplicates to fix. Also it has plex already.
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      18. Considered it carefully, balanced it equitably … and no.

        AI in search file retrieval mode, means nothing to me or likely most users.
        I (and safe to assume most basic, yet organized NAS users) utilize a folder structure. We know how to find our stuff. I would think that would be the case for all user bases, from the small home file server to the largest commercial / corporate installation with hundreds of users. We can find what we need. I dont need a LLM to discover that my photos are in the photos folder.

        This is AI bandwagon hopping, nothing more. They are not proving a use case I can get behind, even as a plain language access point to create advanced NAS functions … I just dont see it as worth a premium.
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      21. This looks amazing! I was going to place a deposit to get the 4 bay version on Kickstarter until I saw that it was only 1gb and 2.5 gb lan. I was hoping that there would be at least one 10gb connections on the non ultra versions. It looks like only the more expensive “Ultra” versions have the dual 10gb LAN connections.

        However, the kickstarter price is still a really good value all things considered. I am having a hard time deciding if I should pull the trigger on the 4 bay Zettlabs or wait for the Ugreen AI Nas.
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      22. As a software developer of more decades than I care to admit, it would be nice to if the AI could somehow characterize a software project based upon the actual source code and/or an associated ReadMe in the project that would be great. I have decades of projects, and seeking one out of the cold storage would be a big challenge, especially if I never created a ReadMe.
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      23. For image and video indexing and tag’ing AI could be great. I like how my Samsung phone can find all images by face locations or simply search dog, cat, documents, or car images.
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      26. Great interview. Follow up questions: Is there an option to backup the AI database in case of data loss? I’d hate to re-analyze terabytes of data. Can we scheduled a full systems backup to a Synology? Finally, do they have a Synology Drive solution for MacOS/Android? See where I’m going with this? My Synology will become a second backup while this one is my daily driver. I’ve already paid for the VIP pricing. Amazing work but I do miss the seagulls.
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      27. Slapping “AI” on every single product that most likely doesn’t need it is a cringe trend. AI this AI that…
        But can’t blame them, people blindly invest and buy anything that says “AI”
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      28. Thank you very much for the time you spend travel to China looks like 2025 it’s promising for new nas system Synology losing the customers hdd decision but the is the hope for new systems around. Specially my interest in 8 bay nas with 4K transcoding.
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      30. Question, the price seems decent, how do you feel this compares to the OpnNAS systems that are twice the price? The OpnNAS aren’t AI, so I struggle to understand how a AI NAS can be half the price for more feature?
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      32. Hardware is rarely the issue these days. That’s not much to be impressed by. Does this compare to OS like Synology? Is it fully fledged out? This and many others have their own OS but it’s sadly not mature enough.
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      41. I simply wanna edit my video footage through Wi-Fi seven through my NAS in real time without wait and see. It’s not that serious. Until that can happen, stop making videos.
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      42. As someone dabbling in the AI space, no LLM is going to transcribe or do OCR anywhere useful in such a device. I don’t even need to know at the specs. There is absolutely no way as NAS with no powerful GPU can do so. Don’t believe me, ask YouTubers to test it on screen
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      44. The basic idea is fine and it looks nice. But, BTRFS with it’s issues with RAID that hasn’t been worked on for years, why? Would like to have ZFS as its stable and expandable and have dedup.
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      46. 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?
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      51. 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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      53. 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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      59. 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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      61. 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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      62. 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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      63. 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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      64. 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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      67. 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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      70. 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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      71. 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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      83. Hello, first of all thank you for bringing this nas as content, I ask you if to date you have been able to learn something new about this nas or its operating system? I am very interested when purchasing the pro bay version. Thanks
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      86. There is next to no videos or reviews on this other than this and one other guy. I did the hold payment. But worried that this is one of them get your money and disappear products
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      90. I like the idea but it feels like a solution looking for a problem. Me personally I don’t have the need, and the companies I work with are all cloud based storage these days.
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      94. Framework Compatibility: What AI frameworks and tools are provided in the NAS (pre-installed) for model development, training, and deployment. Is there the possibility to install third-party framework and tools?
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      97. I am super interested in knowing more about this Nas. I have a MASSIVE music & music video collection (roughly 70 tb), and being able to use those multiple search functions (with plain text), is going to be really helpful in narrowing down searches.
        …. you mentioned that this isn’t new, does Synology have a feature like this? (searching with plain text to narrow down a search)
        I’m waiting to find out what your review of the 1825+ is going to show. I’ve been wanting the 1821+ for a while but I’m hoping the hardware will be better on the newer 1825+ release.

        you mentioned Ugreen, releasing an LLM version also, any ideas on if I should wait?
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      103. Any idea what GPU they will be adding to enable local AI processing and how…..? BTW you can do this today with a Zima Cube Pro by buying the version with a gpu or by adding the right one either via the PCI slot or via eGPU. Will be interested to see if Zetta take a different approach!
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      109. Doubtless, presumably, AI will be of use but my heart sinks every time I hear the buzzword; and ,also, once Crowd Funded rears its head my inner grumpy old man overflows. Still looks good though.
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      110. The benefit is that with offline AI LLM, potentially(!) one should be less(!) worried about your sensitive data, it should be (hopefully) confidential. BTW, offline AI LLM is not new, only on a NAS it would be new, the system comes thus “pre-trained”.
        But there are also some serious caveats when using offline AI LLM.
        For example, when they are using open-source, those chance so often and rely on other sources, that they can break(!) your implementation. Do not ask how I know but suffice to say I have experienced that several times. Sometimes at the worst moments and can become a pain to resolve.
        But let’s wait and see what they come-up with.
        BTW, going k1ckstarter would be for me an immediately full hands-down to me, sorry.
        Let’s not burn them down until something tangible 😉
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      111. Imagine your local LLM crawling all your local math and science books, then presenting it for a specified target age/knowledge level. Or telling it to play only songs in my collection that have jazz guitar. This is what I’m hoping for, with the ability of using several models offline. Current solutions are choppy, and require Docker/VM implementations, but with the advantage of high-end hardware for custom builds, and the disadvantage of power optimization and visual the visual appeal of Zettlabs and Ugreen boxes. We’ve come a long way, but still a ways to go.
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      112. Okay I’ve got to say where is this because if you were to tell me that this is some kind of a multi-stall shower setup at prison I’d be like that’s a pretty nice prison but I would believe you I don’t think it’s prison because that is awfully nice showers but you are clearly in a shower
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      113. 2:00 – Seems like maybe a good pairing with those NVIDIA AI motherboard chipset things or maybe those LIQUID (server hardware vendor) company’s server product solutions, maybe? Is it a ‘lower-end’ solution for less gongho wallet consumers?
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      120. Why do they make these things so ugly? It looks 10x better without that front cover on it. And what’s the logic behind lettering the bays instead of numbering them? Really weird.
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      128. Core ultra 100 , 1 generation back from just launched ultra 200 and when this nas ready and ship probably it is already an outdated device in terms of AI performance (like all AMD /Intel processor with 10/16 TOPS NPU) . Will still do AI stuff but slower or limited compared to newer device

        The NPU build in is not upgradeable ????
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