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Notes from the GPU floor

Case studies, pilot results and engineering notes on running self-hosted LLMs efficiently on your own GPUs.

  1. Pilot

    NeuroBlock pilot: 3.2× structured output throughput on the same GPUs

    First results from our pilot with NeuroBlock. Structured output went from 193 to 614 tokens per second on the same NVIDIA GPUs and model, with sub-second time to first token.

  2. Case study

    Half the monthly GPU cost on a production LLM deployment

    Feniria cut monthly GPU cost by 50% on a production LLM inference workload, with p99 time to first token down 48% and no hardware added.

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