The Prometheus server packs 128 terabytes of memory, exceeding the capacity of Nvidia’s DGX B300 by 60 times. This design targets the memory-bound nature of token generation in large language models. By expanding data throughput, the hardware aims to eliminate the bottleneck slowing inference. Practitioners can expect faster output for massive models.