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Confidential Inference
Confidential inference keeps prompts, model state and responses inside an attested CPU/GPU boundary during execution. Its privacy claim depends on where requests decrypt, which code receives keys, and where plaintext can leave.
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AI Infrastructure System DesignDesign an inference service whose operator cannot read customer prompts or the model owner's weights.→GPU Fleet Reliability & ObservabilityGPU attestation fails after a driver update. How do you restore serving without bypassing the key-release policy?→Kubernetes, Slurm & GPU SchedulingHow would you configure Kubernetes to run a confidential GPU workload and prove that the pod is protected?→LLM Inference & ServingFirst-token latency is fast, but the reasoning model's answer takes seconds. What do you check?→Kubernetes, Slurm & GPU SchedulingOne fleet: training that wants every idle GPU, and inference with a p99 SLO. Separate pools, or one pool with preemption? Show the numbers.→GPU & Accelerator ArchitectureWhat does a confidential GPU encrypt, and what remains trusted when you add a second GPU?→