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