TensorX

𝗚𝗟𝗠-𝟱.𝟮 𝗷𝘂𝘀𝘁 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱, 𝗮𝗻𝗱 𝗶𝘁 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗹𝗶𝘃𝗲 𝗼𝗻 𝗧𝗲𝗻𝘀𝗼𝗿X. It is the strongest open model yet. On independent benchmarks it scores 𝟲𝟮.𝟭 𝗼𝗻 𝗦𝗪𝗘-𝗯𝗲𝗻𝗰𝗵 𝗣𝗿𝗼 against GPT-5.5's 58.6, lands within a point of Claude Opus 4.8 on the hardest tasks, and does it at 𝗮𝗯𝗼𝘂𝘁 𝗮 𝘀𝗶𝘅𝘁𝗵 𝗼𝗳 𝗚𝗣𝗧-𝟱.𝟱'𝘀 𝗽𝗿𝗶𝗰𝗲, with a 1M-token context and open weights. We are the first to bring the latest GLM models to Europe through our exclusive partnership with @Zai_org @ZaiforStartups, with zero data retention. Why does where it runs matter? Ask Anthropic. They shipped Fable 5 this month, and three days later a US government order pulled it offline, worldwide. Every customer lost it, through no fault of Anthropic's. A model you only rent can be switched off by someone else. 𝗢𝗽𝗲𝗻 𝘄𝗲𝗶𝗴𝗵𝘁𝘀, 𝗵𝗼𝘀𝘁𝗲𝗱 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗷𝘂𝗿𝗶𝘀𝗱𝗶𝗰𝘁𝗶𝗼𝗻, 𝗰𝗮𝗻𝗻𝗼𝘁. If provider risk is on your radar, come and run GLM-5.2 on Tensorix. TensorX.ai #AIinfrastructure #Zai #glm #enterpriseai

Europe wants AI it can run on its own soil. That takes hardware, and the capital to finance it. Solstice and @tensorx_ai are putting up to $1,000,000,000 behind it. A billy.

𝗧𝗲𝗻𝘀𝗼𝗿𝗶𝘅 𝗶𝘀 𝗻𝗼𝘄 𝗧𝗲𝗻𝘀𝗼𝗿𝗫, and the new site is live: tensorx.ai We've rebranded and launched a brand new website ! In the last week we brought three of the strongest open source models in the world onto the platform: 𝗚𝗟𝗠-𝟱.𝟮, our exclusive @Zai_org release. 𝗠𝗶𝗻𝗶𝗠𝗮𝘅 𝗠𝟯, @MiniMax_AI 's latest flagship. 𝗞𝗶𝗺𝗶 𝗞𝟮.𝟳, moonshot 's newest, built for coding. A year ago the best models were closed source, American, and rented. This week marks a huge change in the AI landscape where open source models have finally caught up to some of the frontier models. All three run on TensorX-owned GPU's, based in the EU, with zero data retention. Open weights, hosted in Europe, 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗮𝘆𝗶𝗻𝗴 𝘆𝗼𝘂𝗿𝘀. The model you pick matters. Where it runs, and who can take it away, matters even more. This is exactly what TensorX is for.

Z.ai's GLM-5-Turbo and GLM-5v-Turbo are now live on Tensorix! 🚀🚀 Not proxied. Not routed through a third party. Both models run on Tensorix-owned GPUs in Dublin, with full zero data retention as standard. GLM-5-Turbo: agent-ready, built for coding and agentic use cases GLM-5v-Turbo: multimodal reasoning across code, images, documents and diagrams Capable models shouldn't come with a sovereignty trade-off. Go build something cool on tensorix.ai

Announcement! deepseek/deepseek-v4-flash and deepseek/deepseek-v4-pro are officially available on Tensorix. These models offer a powerful combination of speed and advanced reasoning. You can now integrate both models seamlessly into your applications using our private inference platform. Discover these new models and start building today: tensorix.ai/models

@base Agentic inference: tx402.ai

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⚡ Drop-in OpenAI compatibility (just change your base_url!) Why run GLM-5.1 on Tensorix? 🔒 Zero data retention (prompts wiped instantly) 🇪🇺 100% EU-sovereign infrastructure Build securely today: tensorix.ai

🤯 What can it do? In testing, GLM-5.1 autonomously built a complete Linux-style desktop environment web app over an 8-hour session. It reviews its own output, identifies missing features, and keeps refining. The longer it runs, the better it gets.

🚨 GLM-5.1 is officially live on @TensorixAI! Z.ai’s new flagship model is a game-changer for agentic engineering and long-horizon tasks. State-of-the-art coding capabilities, now available on the most secure enterprise AI platform. 🧵👇

📷 Are you ready to build your own AI personal assistant from scratch? Join: @kevincollinsirl as he guides you through OpenClaw X Tensorix. Whether you are a seasoned developer or a curious beginner, we will guide you step-by-step through installing and running OpenClaw — an open-source AI personal assistant powered by the secure, EU-sovereign Tensorix.ai API. You will walk away with a fully functional AI assistant running on your machine and practical ideas for how to use it. As a special bonus, every attendee will receive €50 in free Tensorix API credits! Your data stays yours with zero data retention and zero logging. 📅 Date: Thursday, April 2 | ⏰ Time: 7:00 PM – 8:30 PM GMT+1 | 📍 Online Secure your spot today and start building! 👉 Register here: luma.com/c9p58bl7

🦞 Raise the Lobster! Kudos to @jenticai @AICollectiveCo & Give(a)Go for a brilliant evening "Getting OpenClaw Running"! Team Tensorix happy to support with Private Inference credits.

This is exactly why we built @tensorix_ai — EU-sovereign inference is already live. Dublin, Frankfurt, Paris, Helsinki. Zero data leaves your jurisdiction. Drop-in OpenAI replacement. GDPR + EU AI Act compliant from day one. We'd love to help Sovereign AI Unit portfolio companies skip the infrastructure build. Private inference is our thing — come talk. 🇬🇧🇮🇪 x.com/SebJohnsonUK/s…

This is the moment. £500m behind sovereign AI — the UK government just validated the entire thesis. @UKSovereignAI @KanishkaNarayan @Jameswise — love the vision. At @tensorix_ai we've been running EU-sovereign inference for a year: Dublin, Frankfurt, Paris, Helsinki. Zero data retention. Drop-in OpenAI replacement. GDPR + EU AI Act compliant. The sovereign stack matters. When your AI runs on foreign infra, you're leaking competitive intel and customer data with every call. We'd love to help Sovereign AI portfolio companies skip the infrastructure build. Private inference is our thing. Also... maybe time for a Tensorix UK data centre? 🇬🇧🇮🇪

@achJImorgh Great to hear! We've got GLM-5, MiniMax M2.5, Kimi K2.5, Llama 4 Maverick (1M+ context), DeepSeek v3.2 & R1, Qwen3, and more — all with zero data retention, EU inference. What models would you like to see us add? Always expanding the lineup.

@tensorix_ai Looking forward to testing it. I hope to see more models available on Tensorix - I'm looking for an EU ZDR alternative to OpenRouter etc

Boom 💥 Look what's landed in ICT's Dublin warehouse today 👀 Tensorix's new Dell PowerEdge XE9780. Inside are 8 × NVIDIA B300 GPUs built to support private AI inference and high-performance enterprise workloads. When people talk about AI, few talk about the infrastructure required to run them. Tensorix continue to scale out our Sovereign Inference Infrastructure to meet customer demand.

🚨 Your "confidential" label just got bypassed. Microsoft Copilot surfaced confidential emails to unintended users. Sensitivity labels? DLP policies? Meaningless when the AI decides what to surface. This is the default model: your data leaves your control, gets processed elsewhere, maybe trains on, sometimes deleted if you ask nicely. There's a different way. Tensorix. Private EU inference. Zero retention. Your data never trains. Your data never leaves EU. Your Data. Your Rules. Always. #EnterpriseAI #DataPrivacy

Great point. When choosing AI: 1. Where is data processed? 2. What they do with it? 3. Who owns what you create? Big AI: US-based, trains on input, opaque rights. Tensorix: EU-sovereign, ephemeral, GDPR enforced. Preparation = infrastructure with your back tensorix.ai

Wasn't expecting this to go so viral... If only this was last week with @nikitabier's X article contest :) But seriously, I'm glad that my message has been received. It's so, so important for the people in your lives that are outside of tech to understand what's happening, because this is going to affect them, and soon.

@mpeltz If AI terms allow data usage, your privileged comms aren't privileged. Tensorix: EU-sovereign, zero retention, GDPR compliant. Ephemeral processing - no logging, no training. Professional AI: not "best model" but "which won't expose you?" tensorix.ai #LegalTech

Your AI conversations aren't privileged. Yesterday, Judge Jed Rakoff ruled that 31 documents a defendant generated using an AI tool and later shared with his defense attorneys are not protected by attorney-client privilege or work product doctrine. The logic is simple: an AI tool is not an attorney. It has no law license, owes no duty of loyalty, and its terms of service explicitly disclaim any attorney-client relationship. Sharing case details with an AI platform is legally no different from talking through your legal situation with a friend (which is not privileged). You can't fix it after the fact, either. Sending unprivileged documents to your lawyer doesn't retroactively make them privileged. That's been settled law for years. It just hadn't been tested with AI until now. And here's what really hurt the defendant: the AI provider's privacy policy (Claude), in effect when he used the tool, expressly permits disclosure of user prompts and outputs to governmental authorities. There was no reasonable expectation of confidentiality. The core problem is the gap between how people experience AI and what's actually happening. The conversational interface feels private. It feels like talking to an advisor. But unless you negotiate for an enterprise agreement that says otherwise, you're inputting information into a third-party commercial platform that retains your data and reserves broad rights to disclose it. Judge Rakoff also flagged an interesting wrinkle: the defendant reportedly fed information from his attorneys into the AI tool. If prosecutors try to use these documents at trial, defense counsel could become a fact witness, potentially forcing a mistrial. Winning on privilege doesn't make the evidentiary picture simple. For anyone advising clients or managing legal risk, this is a wake-up call. AI tools are not a safe space for clients to process their counsel's advice and to regurgitate their legal strategy. Every prompt is a potential disclosure. Every output is a potentially discoverable document. So what do we do about it? First, attorneys need to be proactive. Advise clients explicitly that anything they put into an AI tool may be discoverable and is almost certainly not privileged. Put it in your engagement letters. Make it part of onboarding. Don't assume clients understand this, because most don't. Second, if clients want to use AI to help process legal issues (and they clearly will, increasingly), then let's give them a way to do it inside the privilege. Collaborative AI workspaces shared between attorney and client, where the AI interaction happens under counsel's direction and within the attorney-client relationship, can change the analysis entirely. I'm excited to be planning this kind of approach, and I think it's where the industry needs to head. storage.courtlistener.com/recap/gov.usco…