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Aihe: NVIDIA

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Data is a Liability: Replacing Persistent Retrieval with Ephemeral GPU Compute

Most AI systems rely on storage-first architectures that retain sensitive data in vector databases, caches, logs, and cloud infrastructure. StatelessLaw explores an alternative approach: a non-persistent inference pipeline based on transient compute, memory-only processing, and reduced forensic surface area. Instead of persisting private legal context, the system streams data through isolated execution environments, performs GPU-accelerated reranking in volatile memory, and minimizes long-lived state where possible. The goal is to reduce application-level persistence and long-term retention of sensitive context.

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