VQV Signal
A Hacker News discussion highlights LLM inference under CKKS fully homomorphic encryption (FHE) running at 1 second per token interactively and 6 minutes per token for fully encrypted runs on a single DGX Spark system. This demonstrates practical encrypted LLM inference speeds using advanced hardwa...
A Hacker News discussion highlights LLM inference under CKKS fully homomorphic encryption (FHE) running at 1 second per token interactively and 6 minutes per token for fully encrypted runs on a single DGX Spark system. This demonstrates practical encrypted LLM inference speeds using advanced hardwa...
AI-assisted summary based on the listed source.
This shows progress in performing LLM inference with strong privacy guarantees via homomorphic encryption at speeds approaching interactive use. It indicates potential for secure, encrypted AI applications without exposing raw data during inference.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Hacker News.
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