@NVIDIA and @Protopia_AI are addressing the Trust Dilemma together, unlocking confidential AI anywhere at global scale. https://t.co/E9AcK4RFUq
NVIDIA Confidential Computing protects the model and its execution environment. Protopia's Stained Glass Transform protects the inference data path across the full operational surface of the AI factory, so sensitive prompts never appear in plaintext in logs, observability, scheduler records, or fabric traffic.
With CC on the weights and SGT on the data path, the operator holds neither party's secrets in the clear.
This fundamentally changes what becomes architecturally possible for sensitive agentic workloads. The secure agent workspace reference design treats inference as a hard dependency that can be served either locally on a nearby GPU or routed to a managed endpoint, for example an AI Factory. Until now, routing sensitive agentic workflows to an LLM in multi-tenant environments have not been fully trusted.
This traditionally results in an isolation tax that eats into the ROI of AI Factories. With the joint stack in place, inference on a multi-tenant AI Factory becomes a viable option for sensitive agent workloads, which widens the set of deployment patterns enterprises can use to put agents into production.
If you're at GTC Taipei this week, come see it live!
Unlock the power of popular open LLMs like #Mistral and #LLaMA3 while retaining data ownership. 🔒
See how Protopia AI Stained Glass Engine & @nvidia DGX Cloud offer compelling solutions for privacy-preserving LLM deployments: https://t.co/whxrBSdRhU
Check out Protopia AI:
Data protection in AI era
Privacy-preserving technologies ensuring data confidentiality while leveraging AI/ML solutions
@protopia_ai@AWSstartups
Q2's Jesse Barbour will co-lead a presentation featuring Q2’s new privacy-preserving fraud detection solution alongside @eiman_eb, CEO for @protopia_ai, at The #AISummit New York on Thursday, Dec. 8, 2022.
Check out our press release to learn more: https://t.co/DmlDGWvI2O
Protecting sensitive data is table stakes. This Marktech write-up does an excellent job of explaining how @Protopia AI taps into previously inaccessible data- https://t.co/lAxCymnvGF
In Germany this week, I was explaining (in the hall track @WEareTROOPERS) one of the many operational data problems in ML addressed by @protopia_ai.
Expert Insights: Training the Data Elephant in the AI Room https://t.co/rxPTQlIKpG
Machine Learning system data exposure **during operations** eclipses combined data exposure during training and data exposure risk from extraction attacks! #MLsec
https://t.co/rxPTQlIKpG
@kevin2kelly Love Protopia showing up in these notes! We are fervently working on creating the path to that protopian world in AI here at https://t.co/iUVj82tOuY!
Eufy responds to huge privacy breach, attributes unauthorized camera access to server ‘bug’ - 9to5Mac #security#privacy#surveillance https://t.co/QXruBsfNf1
The GPT-3 hype is way too much. It’s impressive (thanks for the nice compliments!) but it still has serious weaknesses and sometimes makes very silly mistakes. AI is going to change the world, but GPT-3 is just a very early glimpse. We have a lot still to figure out.
This is mind blowing.
With GPT-3, I built a layout generator where you just describe any layout you want, and it generates the JSX code for you.
W H A T
Epilepsy causes seizures: the brain gets so overexcited that it malfunctions. One way to “cure” extreme epilepsy is to sever the connection between the hemispheres, making the brain less overconnected. Social media is the overconnection that causes epilepsy in society.