This chip startup just raised $135M on a bet that AI’s biggest bottleneck isn’t compute — it’s memory
Startup XCENA has raised $135 million to develop chips that perform computations closer to memory, aiming to solve the efficiency bottleneck in AI processing. By reducing the need for data to travel between CPUs, GPUs, and memory, the company hopes to lower AI infrastructure costs.
Why it matters
Memory-centric computing could significantly reduce the power consumption and costs associated with training and running large-scale AI models.
This chip startup just raised $135M on a bet that AI's biggest bottleneck isn't compute -- it's memory | TechCrunch
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