Building Blocks for Foundation Model Training and Inference on AWS
Hugging Face Blog
AWS released new GPU instance families—P6 with NVIDIA Blackwell B200 and B300 chips, and P6e-GB200 UltraServers with up to 72 GPUs in a single NVLink domain—designed to support foundation model training and inference across pre-training, post-training, and inference phases. The B200 GPU delivers 2.25 PFLOPS of dense BF16/FP16 Tensor throughput and 180 GB of HBM3e memory, while the B300 variant provides 288 GB of memory and support for up to 13.5 PFLOPS of FP4 operations. These systems integrate with open-source tools like PyTorch, Kubernetes, and Prometheus to reduce communication bottlenecks and improve scaling efficiency for large-scale distributed training workloads.
