UGREEN NAS and OpenClaw – How to Install it, Setup Your AI and Understanding The Risks!

OpenClaw has now moved from a manual self-hosted setup into the UGREEN UGOS Pro App Center, making it possible to install the assistant gateway directly on supported UGREEN NASync systems rather than building it manually through a VM, terminal commands, or a separate always-on PC. In practical terms, OpenClaw is not the AI model itself. It is the local assistant layer that connects your NAS, files, tools, skills, and messaging channels to an LLM such as OpenAI, Gemini, DeepSeek, MiniMax, OpenRouter, or a local model where supported. This matters because a NAS is where many users already keep their long-term data, backups, media, documents, and project files, but it also means OpenClaw needs to be treated as a privileged automation tool rather than a simple chatbot. The App Center version lowers the installation barrier, but the real value and the real risk both come from what you allow it to access, what model you connect it to, and which skills or messaging channels you enable.

Security Considerations Before Giving OpenClaw NAS Access

OpenClaw should be approached as a privileged automation layer, not as a normal chat assistant. On UGREEN NAS, it runs through Docker and is designed to read, write, delete, move files, publish messages, and execute system-level operations depending on what folders, skills, and channels you enable. UGREEN’s own notes state that the application runs inside a Docker container with root privileges, which is necessary for broad automation but also increases the potential damage from incorrect commands, poor configuration, compromised plugins, or prompt-injection style attacks. The main rule before installation is therefore straightforward: do not give OpenClaw access to anything you are not prepared for it to modify, and make sure you have a working backup before testing it on real data.

The risks increase further if you connect OpenClaw to a remote LLM provider or public messaging platform. When using OpenAI, Gemini, MiniMax, DeepSeek, OpenRouter, or similar services, your prompts, file context, directory details, task instructions, logs, or extracted content may be sent outside the NAS depending on the action being performed. OpenClaw’s own GitHub description warns that real messaging surfaces should be treated as untrusted inputs, and recent reporting has also highlighted malicious third-party OpenClaw skills that attempted to steal credentials, wallet data, and browser information. For NAS use, the safest starting point is to use a test folder, avoid private or business-critical data, do not expose the service directly to the public internet, install only trusted skills, and treat WhatsApp, Telegram, Discord, Slack, or similar integrations as external access points into your NAS assistant.

Preparing Folders and Installing OpenClaw from UGOS Pro

Before installing OpenClaw, create the folders it will use and decide how much of the NAS it should be allowed to see. In Files, either create a dedicated shared folder or a personal folder for OpenClaw’s workspace, for example openclaw-data or openclaw-workspace. This should ideally be an empty folder, as it will be used for temporary files, generated content, working data, and task execution. Separately, create or identify the folder that OpenClaw will be allowed to access for real NAS file operations. For first-time testing, this should be a limited test directory rather than a folder containing live backups, sensitive documents, business files, or irreplaceable media. The workspace path and file access path should not overlap, and the access path should not sit inside the workspace folder. UGREEN also notes that Docker should be installed and updated first, as OpenClaw relies heavily on the Docker container environment.

Once the folders are ready, open App Center in UGOS Pro, find OpenClaw under the app list, and select Install. During the installation wizard, set the Workspace path to the empty folder created for OpenClaw’s internal working area, then set the File access path to the NAS folder or folders that the assistant is permitted to read or modify. Multiple access paths can be added, but this should be done deliberately, as these paths define the practical scope of what OpenClaw can act on. Next, create a Gateway token, which will be required when signing in to the OpenClaw web interface. After reviewing the risk notice, tick the confirmation box and start the installation. The package is installed through the App Center, but it still deploys and runs through Docker in the background, so installation time will depend on NAS performance, internet connection speed, and the state of the Docker environment. OpenClaw’s own Docker documentation also describes the gateway token and container-based control UI as central parts of the deployment model.

Point-by-point setup:

1. Open Files in UGOS Pro.
2. Create an empty folder for the OpenClaw workspace, such as openclaw-workspace.
3. Create a separate test folder for OpenClaw file access, such as openclaw-test-data.
4. Avoid selecting folders that contain private, business-critical, backup, password, financial, or personal archive data.
5. Open App Center.
6. Confirm Docker is installed and updated.
7. Search for OpenClaw under the app list.
8. Click Install.
9. Set the Workspace path to the empty OpenClaw working folder.
10. Set the File access path to the limited folder OpenClaw can manage.
11. Add additional access paths only if they are required.
12. Create and record a Gateway token.
13. Read the installation risk notice.
14. Tick the confirmation box.
15. Click Install and allow the deployment to complete.

Linking OpenClaw to an AI Model Provider

OpenClaw needs an AI model before it can act as an assistant. The UGREEN App Center installation can collect model details during setup, but these can also be managed later from the OpenClaw console under Model providers. The information required is usually the same across providers: a base URL or request endpoint, a model name, and an API key.

OpenAI’s current API reference lists https://api.openai.com/v1 as the standard API base, with chat completions available under /chat/completions, while Google documents Gemini’s OpenAI-compatible endpoint as https://generativelanguage.googleapis.com/v1beta/openai/. These details matter because a wrong endpoint, wrong model name, or invalid key will usually result in provider errors inside OpenClaw rather than a NAS-side installation problem.

For a UGREEN NAS setup, most users will start with a remote model provider such as OpenAI, Google Gemini, DeepSeek, MiniMax, Groq, OpenRouter, or another OpenAI-compatible API. iDX models with local AI model support may also allow local model use, but that depends on the local model service exposing a usable API endpoint and key.

A remote model is easier to configure, but it can send task instructions, file context, extracted text, and other prompts outside the NAS. A local model reduces this dependency, but it may require more RAM, more setup, and a compatible local inference service. OpenClaw supports model provider configuration and key rotation through its own provider system, so the NAS app should be treated as the deployment layer rather than the only place where model behaviour can be managed.

Point-by-point setup:

1. Open the OpenClaw shortcut from the UGREEN NAS desktop.
2. Sign in using the Gateway token created during installation.
3. Go to Model providers in the left-side menu.
4. Click Add provider.
5. Select the provider you want to use, such as OpenAI, Google Gemini, DeepSeek, MiniMax, or another supported provider.
6. Enter the provider’s Base URL or full API endpoint.
7. Enter the required API key from the provider’s developer console.
8. Enter or select the Model name that matches the provider’s supported model ID.
9. Save the provider configuration.
10. Go to the Default model area.
11. Select the model OpenClaw should use by default.
12. Click Save to apply the default model.
13. Open Chat and send a basic test prompt, such as What model are you running on?
14. If OpenClaw returns a provider error, check the API key, model name, endpoint format, account billing status, and provider rate limits.
15. If using a local model on an iDX system, use the local service IP address and port as the base URL rather than a public cloud endpoint.

Common examples:

Opening the OpenClaw Console and Testing the Assistant

Once installation and model configuration are complete, OpenClaw can be launched from the UGREEN NAS desktop. Clicking the OpenClaw shortcut opens the web console in a browser, where the first prompt will ask for the Gateway token created during installation. After signing in, the Overview page shows whether the gateway is active, along with container runtime details such as uptime, CPU usage, memory usage, gateway port, process information, and overall service status. If the service is running correctly, the status area should show an active or healthy state, and the Open OpenClaw button can be used to launch the native OpenClaw interface in a new browser tab.

The first test should be simple. Open the Chat page, send a basic message, and confirm that the configured model responds. After that, test only against the limited folder path selected during setup. For example, ask it to list files in the permitted test directory, create a new folder inside it, or summarize a non-sensitive test document. This confirms that OpenClaw, the model provider, and the NAS file permissions are all working together. If the model does not respond, check the model provider settings first. If file actions fail, check that the command references the correct mounted path shown in the OpenClaw app configuration rather than a folder name as displayed in the normal UGREEN Files interface.

Point-by-point setup:

1. Open the OpenClaw shortcut from the UGREEN NAS desktop.
2. Enter the Gateway token.
3. Click Sign in or Connect.
4. Open Overview.
5. Confirm the service status is active.
6. Check the runtime snapshot for CPU usage, memory usage, and uptime.
7. Click Open OpenClaw if you want to use the native OpenClaw interface.
8. Open Chat from the left-side menu.
9. Send a basic test message, such as Hello.
10. Ask which model is active, for example What model are you using?
11. Test file access only inside the approved test folder.
12. Use a low-risk command, such as Create a folder called OpenClaw Test in [your mounted test path].
13. Open Files in UGOS Pro and confirm the folder was created.
14. If the command fails, check the actual accessible path under Control Panel > About > Apps > OpenClaw.
15. Review Operation Logs if OpenClaw responds incorrectly, fails to access files, or reports a gateway or provider error.

Choosing Skills and Plug-ins for NAS-Based Use

OpenClaw skills and plug-ins extend what the assistant can do beyond basic chat. In a NAS environment, these additions should be chosen more cautiously than they might be on a laptop or test VM, because a skill may request access to files, shell commands, browser sessions, messaging platforms, or external services. OpenClaw’s public site describes it as an assistant that can act through channels such as WhatsApp, Telegram, and other chat apps, while community skill indexes now list thousands of available skills. That breadth is useful, but it also means the skill ecosystem should not be treated as automatically safe or suitable for storage systems. (openclaw.ai, clawskills.sh)

For a UGREEN NAS, the sensible starting point is to enable only the skills that match a specific NAS task. File management, system monitoring, web browsing, document parsing, OCR, and basic notification workflows are the most relevant categories. Avoid installing skills that request broad shell access, browser credential access, crypto wallet access, password manager access, or unclear third-party scripts unless they have been reviewed carefully. This is not theoretical. Reports in early 2026 documented malicious OpenClaw skills that attempted to steal browser data, SSH credentials, wallet information, and other sensitive data, which is particularly relevant when the assistant is being installed on a machine that stores personal or business files.

Point-by-point setup:

1. Open the OpenClaw console from the UGREEN NAS desktop.
2. Sign in with the Gateway token.
3. Open the native OpenClaw interface using Open OpenClaw, if required.
4. Go to the Skills, Plug-ins, or Skills Store area.
5. Search for skills by function rather than installing large bundles.
6. Start with NAS-relevant categories only.
7. Check the skill description, source, permissions, and install method.
8. Avoid any skill that asks you to run unclear terminal commands.
9. Install 1 skill at a time.
10. Test it only against the approved OpenClaw test folder.
11. Check Operation Logs after each test.
12. Remove any skill that behaves unexpectedly or asks for broader permissions than needed.
13. Avoid using “always allow” approvals until the workflow has been tested repeatedly.
14. Keep a note of which skills are installed and what each one can access.
15. Review installed skills periodically, especially after OpenClaw or UGOS Pro updates.

Recommended NAS-related starting points:

Connecting OpenClaw to WhatsApp, Discord, and Telegram

OpenClaw can be used through external messaging platforms so that commands can be sent to the NAS assistant without opening the UGREEN web interface each time. The supported channel list includes WhatsApp, Telegram, Discord, Slack, Google Chat, Signal, Microsoft Teams, Matrix, Feishu, LINE, Mattermost, Nextcloud Talk, and others, but WhatsApp, Telegram, and Discord are likely to be the most relevant for home and small-office users. OpenClaw’s own channel notes state that multiple channels can run at the same time, but they also warn that inbound messages should be treated as untrusted input and that DM pairing or allowlists are used for access control. (github.com, docs.openclaw.ai)

For NAS use, Telegram is usually the simplest starting point because it relies on a bot token from BotFather. WhatsApp normally uses QR pairing and stores more session state on disk, which means it may need more care during backups, container resets, or reinstallation. Discord is more useful when OpenClaw needs to operate inside a server, channel, or team context, but it should be restricted to private channels and trusted roles rather than broad server-wide access. The UGREEN console provides a channel management area where plugins can be enabled, configured, and monitored, but more advanced channel setup may still require working inside the OpenClaw interface or Docker container depending on the platform and plugin. (docs.openclaw.ai, openclaw-openclaw.mintlify.app)

Point-by-point setup:

1. Open the OpenClaw console from the UGREEN NAS desktop.
2. Sign in using the Gateway token.
3. Go to Channels.
4. Select the channel you want to enable, such as Telegram, WhatsApp, or Discord.
5. Click Enable for the required channel plugin.
6. Wait until the plugin status changes to Ready.
7. Click Add channel.
8. Enter the required account, bot, or pairing details.
9. Configure DM access rules, pairing mode, or allowlist behaviour where available.
10. Bind the channel to the correct OpenClaw agent or default assistant.
11. Send a low-risk test message from the external app.
12. Confirm that OpenClaw replies through the same channel.
13. Test with a harmless NAS action inside the approved test directory only.
14. Check Operation Logs if messages are received but not answered.
15. Disable the channel if unexpected users, groups, or servers can trigger the assistant.

Telegram setup:

1. Open Telegram.
2. Search for @BotFather.
3. Create a new bot using /newbot.
4. Copy the bot token provided by BotFather.
5. Return to OpenClaw > Channels.
6. Enable the Telegram plugin.
7. Add a Telegram channel.
8. Paste the bot token.
9. Configure whether the bot can respond in DMs, groups, or both.
10. Send a test message to the bot.

WhatsApp setup:

1. Open OpenClaw > Channels.
2. Enable the WhatsApp plugin.
3. Add a WhatsApp channel.
4. Enter the phone number or pairing account details requested by the setup window.
5. Generate the QR pairing code.
6. Open WhatsApp on your phone.
7. Go to linked devices.
8. Scan the QR code.
9. Wait for the WhatsApp channel status to become active.
10. Send a test message to confirm OpenClaw responds.

Discord setup:

1. Create or use a Discord server where you control permissions.
2. Create a dedicated private channel for OpenClaw commands.
3. Create a Discord bot in the Discord Developer Portal.
4. Copy the bot token.
5. Return to OpenClaw > Channels.
6. Enable the Discord plugin.
7. Add a Discord channel.
8. Paste the bot token.
9. Restrict the bot to trusted channels and roles.
10. Send a test command in the private OpenClaw channel.

UGREEN x OpenClaw: Useful, but Only with Controlled Access

OpenClaw on UGREEN NAS is a notable step towards making AI-assisted NAS management more accessible, mainly because the App Center version removes much of the older manual deployment work. Instead of installing Ubuntu in a VM, configuring Node.js, running installation scripts, and manually binding the gateway, supported UGREEN NASync users can now install OpenClaw through UGOS Pro and complete the main path, token, and model setup through a guided interface. That makes the initial process easier, but it does not make OpenClaw a basic consumer NAS feature. It is still an automation agent with access to files, tools, model providers, messaging channels, and potentially system commands.

The value depends on how tightly it is configured. Used against a limited folder, with a known model provider, a small number of trusted skills, and private messaging channels, OpenClaw can help with file organisation, document handling, system checks, reminders, and assistant-style NAS interaction. Given broad storage access, untested skills, exposed web access, or remote AI services without understanding the data flow, it becomes a much higher-risk deployment. For most users, the best approach is to begin with a test directory, avoid sensitive data, keep backups current, and expand access only after confirming exactly how OpenClaw behaves in day-to-day use.

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Aucun historique de conversation stocké sur des serveurs : Mark Zuckerberg annonce un mode 100 % privé pour Meta AI sur WhatsApp. Une opération séduction pour rassurer des internautes légitimement méfiants à l'égard de l'IA et des chatbots, mais aussi envers le passif de l'entreprise américaine.

Le 14 mai 2026, OpenAI a annoncé l’arrivée de Codex sur l’application mobile de ChatGPT. L’agent d’IA, capable de coder et d’automatiser des tâches sur ordinateur, peut désormais être contrôlé à distance depuis un smartphone iOS ou Android, qui sert alors de télécommande pour suivre et piloter une session de travail en cours.

Les relations entre Apple et OpenAI se seraient fortement dégradées autour de l’intégration de ChatGPT dans l'iPhone. Au point qu’OpenAI envisagerait désormais des recours juridiques.

Microsoft is simplifying how you access Copilot in Word, Excel, and PowerPoint by reducing the number of entry points to just two. A new floating icon sits in the bottom-right corner of the document canvas, and a contextual entry point appears when you interact with content. Proactive suggestions are now surfaced directly from the Copilot button, and keyboard shortcuts have been unified across apps and platforms. These changes also improve access for users who rely on keyboards or screen readers.

Source

OpenAI se positionne face à Anthropic avec Daybreak, une plateforme intégrée de cybersécurité exploitant GPT-5.5 et Codex Security pour la cyberdéfense.

Le post OpenAI dégaine Daybreak : sa plateforme cybersécurité pour concurrencer Anthropic a été publié sur IT-Connect.

Contacté par Numerama, Mistral AI dément le piratage massif de 5 Go de code source revendiqué sur un forum cybercriminel. L'entreprise française reconnaît cependant qu'un de ses systèmes de gestion de code a été temporairement compromis le 12 mai, dans le cadre de l'attaque supply chain TanStack, sans accès aux données clients ni à ses environnements de recherche.

Contacté par Numerama, Mistral AI dément le piratage massif de 5 Go de code source revendiqué sur un forum cybercriminel. L'entreprise française reconnaît cependant qu'un de ses systèmes de gestion de code a été temporairement compromis le 12 mai, dans le cadre de l'attaque supply chain TanStack, sans accès aux données clients ni à ses environnements de recherche.

Microsoft announced two significant updates: Agent 365 reached general availability as a management tool for AI agents in the Microsoft 365 admin center, and Copilot Cowork — a feature that runs multi-step tasks on your behalf in the background — gained mobile support, reusable task templates called skills, and new third-party integrations. Agent 365 is licensed separately per user at $15/month or is included with Microsoft 365 E7; Copilot Cowork requires a Microsoft 365 Copilot license and is currently limited to participants in the Frontier early-access program.

Source

Microsoft Discovery is a cloud-based enterprise platform that uses agentic AI — software that can plan and independently execute multi-step research tasks without constant human input — to accelerate research and development (R&D). Announced at Microsoft Build 2025 and now in expanded preview, it combines specialized AI agents, a graph-based knowledge engine, and high-performance computing (HPC — large-scale cloud server clusters for compute-intensive simulations) on Azure. The platform targets organizations in chemistry, pharmaceuticals, materials science, semiconductor design, and general engineering. You interact with it through a conversational interface orchestrated by Microsoft Copilot. General availability has not been announced.

Source

OpenAI a présenté, le 11 mai 2026, Daybreak, une plateforme d’IA dédiée à la cybersécurité. L’entreprise entre à son tour dans la course aux IA spécialisées dans la cyberdéfense, quelques semaines après les annonces d’Anthropic autour de Claude Mythos.

OpenAI a présenté, le 11 mai 2026, Daybreak, une plateforme d’IA dédiée à la cybersécurité. L’entreprise entre à son tour dans la course aux IA spécialisées dans la cyberdéfense, quelques semaines après les annonces d’Anthropic autour de Claude Mythos.

Quatorze mois après son départ d'OpenAI, Mira Murati dévoile le premier vrai modèle de Thinking Machines. Il ne s'agit pas d'un concurrent frontal de GPT, mais une IA conçue pour écouter, voir et répondre simultanément.

Selon une enquête de Wired publiée le 1er mai 2026, un réseau de groupes financés par la « dark money » américaine rémunérerait des influenceurs pour promouvoir l’IA made in USA tout en alimentant la peur de la Chine.

Le 6 mai 2026, Anthropic a annoncé un partenariat stratégique avec SpaceX afin d’accéder aux capacités du supercalculateur Colossus 1. Derrière cet accord inédit se cache un enjeu central : mettre fin aux contraintes GPU qui limitaient jusqu’ici la croissance fulgurante de Claude -- et surtout de Claude Code.

Créée pour rivaliser avec un OpenAI devenu « maléfique » selon Elon Musk, la structure xAI avait été rachetée par SpaceX en février 2026 dans un deal à 250 milliards de dollars. Alors qu'Elon Musk se rapproche désormais d'Anthropic (Claude), à qui il va louer ses serveurs, le milliardaire annonce le démantèlement de xAI : l'entreprise n'a plus de raison d'être en tant que structure autonome.

UGREEN NASync Celebrates 2 Years – But Is UGREEN Ready for the Big Leagues?

Two years ago, the popular battery and PC accessory company UGREEN, launched their Kickstarter campaign for the NASync personal NAS series of devices. The brand already had a steadily growing foothold in China with their DX series of NAS devices, but were still a huge outsider in the world of NAS globally. Fast forward two years, a $6 Million crowdfunding campaign, 6 new NAS releases, a new NAS kickstarter in progress (the IDX6011 AI NAS) and generally undermining long-time players who have been in the NAS market for more than a decade – UGREEN is looking like quite a beast in the world of NAS! But two years, UGREEN now finds that along with an increased market position also comes increased demand, scrutiny and expectation. I went to Shenzhen, China, to speak directly with the teams who direct and create their NASync division to ask them them questions about the development of this series, lessons that were learnt, where they are going and what they still need to do to further establish their position in the turnkey NAS market.

Full Disclosure – this Q&A has NOT been sponsored, subsidised or creatively controlled by UGREEN. These questions are my own, submitted to UGREEN 48 hours prior to the interview, and the answers provided were directly from their team.

UGREEN was already a well-established company in its own right before it expanded into NAS systems. So, currently, what is the scale of the teams and resources that your company has allocated to this? R&D, Design, Development, Technical Support, etc?

UGREEN put together its NAS team back in 2018, released its first NAS product in China in 2021, and went global for the first time in 2024, bringing its NAS products to markets around the world. NAS is one of the company’s key strategic product lines, with a team of several hundred people working on it—including product, R&D, design, testing, security, and more. This doesn’t count shared support teams like industrial design, legal, or finance; we’re only talking about people directly focused on NAS. In this whole building, every floor is filled with NAS team members—except for the third floor, which is just the cafeteria.

What has been the biggest challenge in the continued development of your NASync/UGOS services in these last 2 years?

One challenge is resource allocation. We need to support international users at the same time, which means balancing different priorities and expectations. Another challenge is localization. It’s not just about language, but also understanding different user behaviors and usage scenarios. So we had to spend a lot more time to research and validate what users actually need in each region. Based on that, we’ve been continuously adjusting our product direction and improving UGOS to better fit a global audience. It’s definitely an ongoing process, but it’s helped us build a much clearer understanding of the market.

Two years on from your initial crowdfunding, your position in the ‘turnkey NAS market’ from comparative obscurity has catapulted to effectively being in the top 5 (if not top 3) – What do you think UGREEN have brought to the market (or change in the market as a whole) that caused this?

There are a few key things behind that.

Hardware DNA, Built for AI

UGREEN is a hardware company at heart. With our NAS products, we insist on solid hardware—high-performance CPUs, ample memory, high-performance CPUs and ample memory—not just for reliability, but for computing power. AI NAS demands serious performance. Without a strong hardware foundation, AI is nothing more than a concept. Our hardware is designed to make AI run stable and fast.

User-Centric, Not Just a Slogan

We’ve always put ourselves in our users’ shoes. We listen to every voice—on social media, in forums, through user interviews. Many of our features, like snapshots and SAN Manager, came directly from users telling us, “I need this.” Our products aren’t built in a vacuum; they’re shaped together with you.

R&D Investment, Bringing NAS to Everyone

We established our software R&D team, including an AI pre-research team, early on. User feedback has driven us to keep investing, with one goal in mind: to shorten the learning curve. NAS shouldn’t be just a toy for tech enthusiasts. We believe the future of NAS is for everyone—simple, smart, and accessible. This is the path we’re on, and it’s one we want to walk together with you.

The UGREEN IDX6011 AI NAS series has been in development for a long time, and will be headed to its own crowdfunding campaign shortly. What was the biggest challenge you faced in its development and/or lesson that you learned about this new profile of solution?

The biggest challenge was finding the right balance between AI capabilities and real user value. It’s relatively easy to add AI features from a technical perspective, but making them actually useful, stable, and well-integrated into everyday workflows is much harder. Especially on a NAS, NAS is essentially a local storage product, everything runs locally, so for us, it was important that AI features also run locally. But hardware resources and compute power are limited. So the question is, how do we build useful and stable AI features without affecting NAS core functionality like storage, backup and overall system performance? That’s very difficult.

And from product design perspective，it’s also challenging to define the right AI use cases. It’s not about adding more AI features, but making sure they are scenario-driven and actually solve real problems, like better file organization, smarter search, easier intraction… We need to keep the experience simple. Many users are still new to AI on a NAS, so we wanna make things natural and do not add extra complexity. So right now, we’re still in the process of refining and validating these ideas, and making sure we deliver something that’s both practical and reliable for users.

I think it would be fair to say that UGREEN has chiefly focused on Desktop NAS server ownership in their portfolio of solutions to date. But have you explored rackmount solutions, and/or is this something that could happen in the near future?

Actually we’ve done some internal research on rackmount solutions, it’s quite different from desktop NAS in terms of target audience, hardware, software and sales. So it’s not just an extension of what we’re doing now, it requires a different product strategy. For now, our focus is still on improving and expanding our desktop NAS lineup, in the short term, we don’t have a concrete plan for rackmount products, but it’s something we’ll continue to evaluate over time.

Now that UGREEN is a largely established player in the turnkey NAS market, there is a lot more scrutiny on the extent to which your brand preemptively prepares against cyber security threats. What is UGREEN doing to address (in terms of foundations on this platform and broader services) this to avoid a potential slow moving snowballing security incident?

Security is something we take very seriously. At the product level, we provide a range of built-in security features. For example, users can enable DoS protection to defend against network attacks, automatically block IP addresses after multiple failed login attempts, and set up firewall rules to control access from specific IP addresses and built-in Security app to scan for suspicious files We also have a dedicated internal security team and a well-established vulnerability handling process, so critical issues can be identified and resolved quickly. We also provide a vulnerability reporting channel on our official website. If users discover any potential security issues, they can report them to us, and we will assess and respond accordingly.

(Below is a snippet of the Security Disclosure page from UGREEN, available HERE)

At CES 2026, UGREEN unveiled its surveillance platform and edge AI cameras. At that time, your team was kind enough to allow me to see the early development of your NAS surveillance application that will allow full management, direct control and storage of these new Surveillance services. Is development still continuing on this and will this be a service that existing NASync owners will have access to in the future

Yes, development is still ongoing. The surveillance platform you saw at CES is actually a part we are exploring, and is still under active development. From what I understand, AIOT is a broad ecosystem that is going to feature ai NAS, ai-based home security cameras, and many more AI-empowered hardware devices for a smarter lifestyle. On the NAS side, we’re also building our own surveillance application for NASync. We plan to launch it within this year. In terms of compatibility, we aim to support both UGREEN cameras and third-party cameras, so users have more flexibility to build their setup. So overall, both sides are moving forward, but they are different products within the UGREEN ecosystem.

In the last year, UGREEN released two ARM RK chip-powered NAS solutions in the DH2300 and DH4300 – How easy/hard was scaling UGOS onto this more modest hardware base, and were there any useful lessons learned that have benefited your NAS development as a whole?

DH series is our entry-level lineup, designed mainly for NAS beginners and users with simpler needs. From a technical perspective, running UGOS on an ARM-based platform is definitely more constrained compared to x86, especially in terms of performance and resource availability. A lot of things can’t just be directly carried over, we need to re-adapt them for the ARM architecture, including the kernel, system services, and many core features. So we had to be more selective and thoughtful about which features to include and how to optimize them. And from a product perspective, it actually helped us become more focused. With the DXP series, we already emphasized user-friendliness, but with the DH series, we really wanted to take that further and make it as simple as possible, essentially positioning it as a user’s first NAS.

So in practice, we streamlined certain features based on the hardware and target users. For example, we simplified or did not include things like virtual machines and some AI capabilities, and instead focused on delivering a smooth and reliable core experience. One key lesson we learned is that not every product needs to do everything. It’s more important to match the right experience to the right user group. And that thinking has also helped us better define our overall NAS product lineup.

I canvased a large group of UGREEN NAS users (many of whom were part of your original Kickstarter campaign) who are still using their NASync systems to this day, and have followed you on your journey so far. I asked them which features or improvements they would like to see in future updates and revisions to UGOS. Are you able to share if these are features that are on the roadmap, or have been explored?

• Full Volume Encryption
• WORM support
• A mixed drive RAID storage system (comparable to Synology Hybrid RAID or Terramaster TRAID)
• A tiered storage system (unlike the copy system of ‘caching’, but a SSD+HDD composite pool that intelligently moves ‘hot’, ‘warm’ and ‘cold’ data to appropriate storage areas)
• ZFS as a file system choice
• A native Plex Media Server Application
• A local client application for Mac/Windows for file pinning, streaming, intelligent 30-day deletion (see Synology Drive, QNAP Qsync, etc)
• A more comprehensive security scanner (eg scanning for unsecure open ports, SSH being open, weak passwords, admin accounts, auto blocks disabled, etc)

 

We’ve actually seen many of these requests from our users as well, these are very valuable suggestions and we’ve already had internal discussions around most of them. But many of these features, like full volume encryption, hybrid RAID, or tiered storage are quite complex, they take time to design, develop and validate, especially we wanted to make them stable and reliable.

So at this stage, we don’t have a specific timeline we can share yet. But these are definitely things we take seriously, and we’ll plan them carefully based on user demand and overall product direction. If we see strong demand from users, we’ll absolutely prioritize them accordingly.

Thank you to the team at UGREEN for their time in this interview. As mentioned, the answers about were provided in their entirety and without prejudice. This will be a video soon that covers this, the tour of the facilities, as well as further discussion around the IDX6011 NAS Kickstarter and how this has been managed.

 

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OpenAI, together with AMD, Broadcom, Microsoft, and NVIDIA, published a new paper describing MRC (Multipath Reliable Connection), a new networking protocol designed for large AI training clusters. MRC addresses two of the most critical problems in these networks: traffic congestion and link failures. The protocol is already deployed in production at OpenAI and Microsoft data centers. The specification is freely available through the Open Compute Project (OCP) under an open license.

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