Reame CPU Inference Server Uses Disk Caching for Repetitive Workloads
July 11, 2026
Reame optimizes LLM inference on low-spec CPU hardware, such as 2-core ARM instances, by caching repetitive computations. This approach significantly reduces latency for subsequent requests in narrow tasks like RAG or document extraction where prompts share common prefixes.
HOW THIS AFFECTS YOU
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builderYou can deploy efficient inference pipelines on low-cost, shared vCPU instances for repetitive tasks.
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founderYou can reduce operational costs by running small models on existing cheap hardware instead of GPUs.