PulseAugur
EN
LIVE 13:00:10

AI chip startup XCENA raises $135M for memory-centric architecture

XCENA, a startup focused on AI infrastructure, has raised $135 million in Series B funding at a $570 million valuation. The company is developing a new chip architecture that aims to reduce AI's memory bottleneck by placing compute capabilities closer to DRAM. This approach could significantly lower AI infrastructure costs for hyperscalers by reducing data transfer inefficiencies between CPUs, GPUs, and memory. AI

IMPACT This funding could accelerate the development of more efficient AI infrastructure, potentially lowering operational costs for large-scale AI deployments.

RANK_REASON A significant funding round for an AI infrastructure startup developing a novel chip architecture. [lever_c_demoted from significant: ic=1 ai=0.7]

Read on TechCrunch AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. TechCrunch AI TIER_1 English(EN) · Kate Park ·

    This chip startup just raised $135M on a bet that AI’s biggest bottleneck isn’t compute — it’s memory

    South Korean chip startup XCENA is betting that AI's real bottleneck is not compute, but memory.