Virtual Machine News Platform
Foundation model training has reached an inflection point where traditional checkpoint-based recovery methods are becoming a bottleneck to efficiency and…
We are excited to announce the general availability of GPU partitioning with Amazon SageMaker HyperPod, using NVIDIA Multi-Instance GPU (MIG). With…
Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model training and inference at scale. SageMaker HyperPod removes the…
Today, we’re excited to announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, so you can…
GPUs are a precious resource; they are both short in supply and much more costly than traditional CPUs. They are…
Climate tech startups are companies that use technology and innovation to address the climate crisis, with a primary focus on…
This post is co-written with Ken Tsui, Edward Tsoi and Mickey Yip from Apoidea Group. The banking industry has long…
This post is the second part of the DeepSeek series focusing on model customization with Amazon SageMaker HyperPod recipes (or…
Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for…
Foundation model (FM) training and inference has led to a significant increase in computational needs across the industry. These models…
