New models and versions from OpenAI, Anthropic, Google, Meta, Mistral, xAI, DeepSeek, Qwen and others.
#Scaling — 2 articles ✕
Amazon has released SGLang-Neuron, a plugin allowing developers to run large-scale AI models on AWS Trainium hardware using the standard SGLang interface. This integration enables native PyTorch execution and supports advanced features like PD disaggregation over EFA for optimized serving.
Google has updated its open-source JAX training framework, MaxText, to support training LLMs at extreme sequence lengths on Cloud TPU hardware. By introducing four distinct context-parallelism strategies, the update enables efficient training of models with up to 14 million tokens, overcoming memory and compute bottlenecks.