Hardware2h ago
Hardware Optimization Targets LLM Energy Efficiency
Meta's latest Llama release utilizes 2 trillion parameters, driving up energy demands and carbon footprints. Engineers currently rely on smaller models or lower-precision numbers to curb these costs. New hardware optimizations aim to maintain high performance in massive models while slashing inference time. This shift reduces the operational overhead for LLM practitioners.