LLM Inference Takes Aim at Production Realities

New disaggregated LLM serving is faster and cheaper than old aggregated methods for businesses using AI. Tests show better performance.

#LLMServing, #AIefficiency, #OracleCloud, #AMDMI300X, #TechNews

https://newsletter.tf/disaggregated-llm-serving-faster-than-aggregated/

New tests show a disaggregated LLM serving method is 2x faster than older methods using fewer resources. This means AI services will work better.

#LLMServing, #AIefficiency, #OracleCloud, #AMDMI300X, #TechNews
https://newsletter.tf/disaggregated-llm-serving-faster-than-aggregated/

RT @HotAisle: Kimi K2.6 + DFlash: 508 tok/s auf 8x H100

mehr auf Arint.info

#inference #LLM #LLMServing #throughput #transformers #arint_info

https://x.com/HotAisle/status/2046620289984057634#m