How 8 GPUs Became 16: Rethinking LLM Inference Through Parallelism, Memory, and Runtime Design
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Purnima Kumari
DigitalOCean
Sr. Solutions Architect II
Running pre-fill and decode on the same GPU severely bottlenecks your AI throughput. Discover how cache-aware disaggregation and speculative decoding can drastically reduce latency and infrastructure costs.
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