A new technical paper, “SHIP: SRAM-Based Huge Inference Pipelines for Fast LLM Serving,” was published by researchers at Nvidia, with work done while at Groq. Abstract “The proliferation of large language models (LLMs) demands inference systems with both low latency and high efficiency at scale. GPU-based serving relies on HBM for model weights and KV... » read more The post Large-scale, SRAM-based LLM Inference Deployment (Groq) appeared first on Semiconductor Engineering .
Source: Semiconductor Engineering — read the full report at the original publisher.