Technical deep-dives, benchmarks, and field notes on confidential GPU compute, Intel TDX enclaves, and AI inference built for HIPAA-regulated teams.
An independent test found vLLM 0.30 producing incoherent output under confidential computing on an H100 VM. Seven runs isolate it to the V2 model runner, and one environment variable fixes it. What is proven, what is not, and the scripts to check it.
A retention policy is a sentence in a DPA. A tenant-generated TDX quote is evidence you can verify against Intel on your own machine. Where the line sits in 2026, and what a quote does not cover.
A CPU trust domain proof and a GPU confidential-computing proof, both produced by you, from inside your own VM, verified by Intel and NVIDIA rather than by us. The real outputs from 4 September 2026, what each proof does and does not cover, and where it does not apply.
SSH into a Confidential VM with full root, mkdir a TSM report, write your own report_data, read a signed TDX v4 quote, verify it against Intel. The full shell walkthrough, plus the honest limits.
A primary-source synthesis of where confidential AI stands in 2026, market sizing, regulatory phase-in (EU AI Act, DORA, NIS2), the rise of Geopatriation as a Gartner trend, and the technical maturity (Intel TDX, NVIDIA Confidential Computing) that makes the trend structural rather than cyclical.
OpenClaw is great. The install is brutal, Node v22, nvm, JSON config that fails silently, ~90s plugin cold-load. I built a Telegram bridge so you skip all of it. Hardware-sealed, EU jurisdiction, $20/mo.
A managed personal AI agent on Telegram that the operator (us) cannot read. Intel TDX under a French controller, $20/mo flat. Faster than self-hosting Ollama, and actually GDPR-defensible.
DORA’s ICT register turned 2025 into a paperwork crisis. 2026 turns it into a personal liability one. Article 28 needs hardware-grade evidence, not vendor PDFs.
The new HIPAA 2026 rule requires encryption of PHI during processing. Azure, AWS, CoreWeave and Lambda Labs only encrypt at rest, TEE GPU clouds are the only ones that comply. With real H100/H200 pricing.
A "trust us, it’s TDX" claim is not evidence. Pull a signed quote, verify the chain, bind your model. The full cookbook.
A customer asked whether the two attestation proofs also work through the API, end to end. We tested it with nothing but the documentation, found two things broken, fixed them, and published the run. Here is the whole sequence, for humans and for agents.
Eight GPUs attested individually, one fabric that is not, and a first explanation we had to retire. The NSCQ session does open from inside the guest once the library matches the driver. What fails now is certificate validation against an OCSP responder the guest cannot reach.
A cheap board between the CPU and a memory module, plus root on the host, defeats TDX and can forge the attestation. That is a real limit of the technology, not a bug in one cloud. What it changes, what it does not, and what we changed on our own site the same day.
TDX and SEV-SNP both seal a VM. Only one currently ships with first-class NVIDIA confidential GPUs and a documented Article 15 evidence path. Here is the honest comparison.
August 2026 is when high-risk AI obligations bite. Hardware sealing is the only Article 15 evidence that survives an audit.
Self-hosting open-weight LLMs does not mean private inference. Three trust boundaries that vLLM and SGLang cannot fix, and what does.
Most GPU clouds refuse to sign a BAA. Intel TDX solves HIPAA at the hardware level, 5.2% overhead, $6.58/hr H200.
A Paris law firm got sanctioned for ChatGPT in 2025. Their DPA didn’t save them. Here is what hardware sealing fixes.
Real confidential GPU pricing across Azure, AWS Nitro, and VoltageGPU TDX. H200: $6.58 vs $14. Numbers don’t lie.
How Intel TDX secure enclaves enable encrypted AI workloads on H100 and H200. HIPAA technical safeguards, 40% cheaper than Azure.
First hour free with your first top-up of $10 or more. Per-second billing, no subscription. Hardware-sealed in minutes.