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Scaling clinical LLMs doesn't guarantee safety: high-risk errors persist even with advanced RAG and max-context prompting, highlighting the critical role of evidence quality and deployment strategy.
Turns out, the latest and greatest GPU isn't always the most energy-efficient: NVIDIA's H100 surprisingly beats the H200 for compute-bound workloads under power constraints.
Stop blindly buying the fastest GPUs: Wattlytics reveals how energy-efficient GPUs can actually be more cost-effective for HPC under realistic budget and energy constraints.
Forget one-size-fits-all power caps: the optimal energy efficiency for AI workloads on GPUs varies wildly by application and architecture.
