20 Oct 2026, 19:30 UTC33 views12 reactionsread 21 October 2026 Video
How many CLICKS does it take to launch a Sovereign AI collaboration between three INDEPENDENT organizations?
Watch our demo and count for yourself!
A healthcare data provider. An AI developer. A pharmaceutical company.
Three organizations, each bringing something valuable: sensitive data, proprietary AI technology, and a business problem to solve.
This demo shows how they can collaborate without exposing sensitiv…
❤🔥9💯2⚡1
14 Oct 2026, 12:00 UTC90 views13 reactionsread 21 October 2026 Photo
Sovereign AI has a gap that rarely makes the slide.
A sovereign cloud solves a real problem. Data stays in the region, the operator is local, and exposure to foreign jurisdictions is reduced.
Now count who may still have access to a client's data, model weights and prompts: the infrastructure operator and its admins, the model provider, the agent vendor, the integrator, the MSP.
Each of them is held back by a cont…
👍6❤3❤🔥2💯2
18 Jun 2026, 14:34 UTC450 views9 reactionsread 21 October 2026 Photo
Zoom out on three announcements from the past month and a larger picture emerges.
HPE made NVIDIA Confidential Computing available across its entire AI Factory portfolio – from sovereign deployments to private cloud AI – marking a shift from optional add-on to standard enterprise offering.
Apple extended its Private Cloud Compute privacy guarantees to Google Cloud – the first time Apple trusted a public cloud with …
⚡6💯3
17 Jun 2026, 14:36 UTC313 views14 reactionsread 21 October 2026 Video
Congratulations to the Google Research Health AI Developer Foundations (HAI-DEF) team on the launch of the HAI-DEF Showcase.
We're honored to see two confidential healthcare AI case studies developed by Yma Health and Super Protocol featured as the first entries in the "Technical Solutions and Tools" section of the showcase.
The two case studies demonstrate how the open medical foundation model MedGemma 27B can be …
⚡7❤5🍾1🦄1
1 Jun 2026, 20:35 UTC243 views16 reactionsread 21 October 2026 Photo
This fall, Confidential Computing ships at rack scale. 72 GPUs. One TEE.
NVIDIA announced Vera Rubin back in March. Now it's ramping to production.
Currently, each server forms its own TEE boundary: up to 8 GPUs, 2.3 TB shared memory. Vera Rubin extends this to the entire rack – 72 GPUs, 20.7 TB of shared memory in one TEE. Imagine what model will fit in there!
"Everything across this is secure because the AI mode…
👍8❤7⚡1
29 May 2026, 15:33 UTC199 views11 reactionsread 21 October 2026 Photo
More organizations think they have Confidential Computing than actually do.
The CCC's new white paper "3 Degrees of Confidential Computing" makes this concrete: Level 1 migrating to Confidential VMs provides hardware isolation, but as the paper notes, “without integrating remote attestation, it does not meet the definition of Confidential Computing”.
However, what is even more telling is the direction in which the …
👍7❤4
25 May 2026, 16:52 UTC174 views17 reactionsread 21 October 2026 Video
The feedback loop healthcare AI never got.
A radiologist reviews a scan. The AI flags a suspicious mass. The patient is referred, biopsied, diagnosed. The physician closes the loop.
The AI never does.
Was the flag correct? Was it a false positive? The answer sits in a different EHR, a different department, sometimes a different institution – and arrives months later. Nobody systematically pipes that signal back to…
⚡11❤6
18 May 2026, 16:38 UTC162 views14 reactionsread 21 October 2026 Photo
"Born out of GPU scarcity, neoclouds now face a harder test." – McKinsey, November 2025
14–16% gross margin after depreciation. Lower than many non-tech retail businesses. The prescribed move is clear: orchestration, managed inference, platform layers. And the market is moving fast. But there’s something already inside the hardware that the stack race is overlooking.
NVIDIA H100, H200, Blackwell – and every generat…
⚡7❤5❤🔥2
13 May 2026, 16:32 UTC170 views12 reactionsread 21 October 2026 Photo
The faster AI scales, the faster confidence in it erodes
For nine years Stanford Human-Centered AI has tracked where AI actually stands and suggests where it’s heading across academia, industry, and government. The 2026 report is out. Here's what stood out.
𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴. 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗶𝘀 𝗲𝗿𝗼𝗱𝗶𝗻𝗴.
70% of organizations now use AI in at least one business function. But look one layer deeper:
🔹 Among orgs that…
⚡6❤5❤🔥1
12 May 2026, 16:35 UTC139 views19 reactionsread 21 October 2026 Video
Ask a hospital to run AI on their patient data. The answer is always the same.
A hospital, a GPU provider, and a medical AI vendor. Everyone has what the others need and none of them can just hand it over. The hospital won't send data to infrastructure they don't control. The vendor won't expose their model. The GPU provider can't take on liability for what runs on their hardware. The model never runs. The patient n…
🔥11❤3❤🔥3⚡2
4 May 2026, 15:15 UTC164 views20 reactionsread 21 October 2026 Photo
The system works – until you try to automate it.
The trust domain spans every infrastructure, every organization. Data never leaves its sealed environment. Nobody depends on anyone else’s goodwill. And then the product team asks: can we automate this?
AI agents are already operating on behalf of organizations – querying data, calling models, chaining actions across boundaries. Not one request at a time. Thousands p…
🔥8⚡4❤🔥4❤2👍2
30 Apr 2026, 16:16 UTC170 views23 reactionsread 21 October 2026 Photo
The first data collaboration works. Then your AI roadmap asks for ten more.
One partnership took long enough that everyone forgot how it started – legal, compliance, integration, security review. The model trained, the results were good, and everyone moved on. Then the product team came back with more ideas.
Every new partnership becomes its own project – not just operationally, but technically. Even with the same …
❤9🔥6👏4❤🔥3🤩1
Showing the 12 most recent of 22 posts we hold for @superprotocol_official. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.