
Google unveils TPU 8tx and TPU 8i Max for AI workloads
TPU 8tx, designed with AMD, targets confidential training and inference; TPU 8i Max doubles memory in one package.
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TPU 8tx, designed with AMD, targets confidential training and inference; TPU 8i Max doubles memory in one package.
PySyft and an NVIDIA H100 enclave on Google Cloud ran private AILuminate prompts against the model.
CORDE uses Rust information-flow control and TEE ledger to declare data before disclosure in confidential VMs for AI.

The roundup contrasts Intel SGX/TDX and AMD SEV-SNP with cloud, EU, and web3 offerings, without new vulnerabilities.

Editorial scores, not lab tests, place AWS Nitro Enclaves second and Google Cloud third, with Intel and AMD as silicon lanes.

The company moved enclave boot measurement out of a million-line C firmware so an untrusted host cannot load arbitrary guest code.

A5X pairs Vera Rubin NVL72 with ConnectX-9 networking, and Google plans capacity of up to 960,000 Rubin GPUs.

Opaque’s team is joining Anthropic and winding down the company after a $24 million Series B at a $300 million valuation.
INTCC lets untrusted processors interactively work inside TEEs while keeping data confidential.
Researchers propose trusted model environments that run generative models inside TEEs for private semantic computation.

Meta extended Private Processing to AI glasses so cloud AI runs without Meta accessing user data.

DDRop uses a $159 DDR5 RDIMM interposer to silently drop memory writes and break Intel TDX and AMD SEV-SNP confidential VMs.

KU Leuven and ETH Zurich researchers released DDRop PoC hardware that forces Intel TDX confidential VMs into debug mode and exposes plaintext memory.
Researchers built a $200 DDR5 interposer that silently drops memory writes to break TDX, SGX, and SEV-SNP confidential VM integrity, requiring physical access.

DDRop uses a sub-$200 DDR5 interposer to drop memory writes, breaking Intel TDX and AMD SEV-SNP confidentiality guarantees.
Odin runs Llama-3-8B fully homomorphic encrypted inference on a single H100 in 366 seconds, a 4.51x speedup over THOR.

OPAQUE releases Weight Custody Manifest, an open standard keeping AI model weights encrypted until receiving hardware cryptographically attests to builder-specified conditions.
SessionLatch adds session attestation to unmodified TLS services in confidential VMs, cutting short-upload latency 63.1% versus TNG on Hygon CSV.
The Linux Foundation adopts TRACE, an OPAQUE-contributed spec giving AI agents hardware-attested, cryptographically verifiable runtime and compliance evidence.
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