Looking through OpenGradient's TEE Gateway documentation today, one architectural detail stood out that most verifiable AI discussions treat as settled when it is not. TEE attestation in OpenGradient requires two separate hardware trust roots simultaneously. Intel TDX attests the CPU enclave. NVIDIA H100 Confidential Computing attests the GPU. Both must verify correctly for the inference to carry a valid trust guarantee.

That composite attestation requirement is more fragile than a single attestation path. A February 2026 NDSS symposium paper analyzing accelerator TEE designs found that most solutions lack essential security supports to ensure attestation correctness specifically at the boundary between CPU and GPU trust domains. The communication channel between those two hardware environments introduces a gap where the protection guarantees of each can be technically valid individually while the combined path remains exploitable.

What I find genuinely worth examining is what that means for OpenGradient's fastest verification tier. TEE attestation is described as the low-overhead option, used for most workloads where ZKML proofs are too computationally expensive. That means the majority of inferences running through OpenGradient today rely on composite hardware attestation, precisely the attestation category that independent 2026 research flagged as the least understood from a correctness standpoint.

Speed and verifiability are both real. Whether they are simultaneously guaranteed at the hardware boundary is the question the documentation does not address.

#opg $OPG @OpenGradient

Opengradient uses TEE attestation for most interface. Do you thiing spped or security should take prioriy??