Head of Product @confidentialdot. Ex @protocollabs. Ex IBM. Rational Flâneur.

London, England
Joined October 2011
This is why cryptographic attestation the end user can verify is the only way. A retention policy is a promise - trusting the infrastructure provider not to look is not good enough.
AWS Bedrock – data retention mode "none": Docs: "Zero data retention. No request or response data is written to durable storage by AWS" Blog: "We may store and review flagged content ... even when mode is none" Only one of these can be correct.
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If confidentiality comes with the same performance, it’s strictly better. confidential > not confidential KV cache offloading now gets the same gain with CC on as off. Great work @b0xtch.
1/ Breakthrough: First production KV cache offloading implementation under confidential computing (CC). Same gain as without CC. NVIDIA B300s, CC on: throughput: +141% time to first token: 39 s → 1.5 s GPU to host copies: 4 GB/s → 50 GB/s
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I'm glad I studied mathematics before AI.
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love inference? love scale? confidential AI is hiring an AI inference engineer to scale confidential computing to 8 billion people. and 800 billion agents. confidential.ai/careers/ai-i…
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The SF billboard was a success. So we upped our marketing budget.
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Our SF billboard
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Confidential Inference. Don't let anyone see your data.
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I like this clarification of names re privacy and AI
The spectrum of privacy in AI
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I had the good fortune to get a tour of the facility last month. Came away super impressed. The team at C5R are geniuses.
In 12 weeks, we built a research facility that is run entirely by AI. AI designs, executes, and observes experiments end-to-end across biology, chemistry, and materials science. We’re introducing SciUniverse: a benchmark that measures AI’s ability to do real-world scientific research.
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POV: you're a prompt going through confidential dot ai private inference.
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Confidential Kubernetes (c8s): v0.12 to v0.33 in three weeks. Some highlights: - env and mounts pinned at admission - GPUs fail closed unless in CC mode - post-quantum attested channels - one CVM per k8s node - sealed nodes, no shell into running workloads github.com/confidential-dot-…
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We open-sourced confidential-inference. The code behind api.confidential.ai: gateway, serving images, allowlist. Every production deploy ships as a signed release bundle. Read the code, check the digests, verify the cluster. github.com/confidential-dot-…
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Patrick retweeted
new provider (@confidentialdot) added to confidentialinference. net
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Open weight models are having their time - and they are a much better fit for confidential computing and inference too.
Looks like today may be a record day for token volume % of open models on Vercel AI Gateway: 🟦 Open 78.4% 🟨 Closed 21.6% While spend 💲 usually tells a different story, #3 and #4 today are Moonshot AI & DeepSeek. Adding Z⁠.ai, their combined spend surpasses OpenAI (#2). (Do note that's the spend for inference of the model across providers (mostly in the US), not revenue going directly to the open weight labs.)
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We're hiring at Confidential AI: 🏗️ AI Infrastructure Engineer ⚡ AI Inference Engineer 🔐 Low-Level Systems & Security Engineer We're building end-to-end privacy for inference. confidential.ai/careers
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You can now verify a live Confidential Kubernetes (c8s) cluster from your browser. Every check runs in your browser tab. Attestation chains to Intel's TDX root. Firmware, kernel and rootfs match the audited image. A pinned CA proves it is the expected cluster. Nvidia GPU attestation included too. confidential-inference-clust…
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Mathematicians: you can get fully private inference and agents at confidential dot ai
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Use Kimi K3 but in complete confidentiality. No one, not even the sysadmin running the infrastructure, can see your prompts. Let that sink in.
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E2e confidential inference at data center scale with negligible performance degradation.
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Our team at @Confi_AI shipped Confidential Agents today. e2e private agents backed by hardware encryption. Ideal for enterprises in regulated industries.
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