TitanRL

Headlines · 2

1. Oct 22
   PyTorch Conference announces native backends for Google TPU and AWS Trainium

   According to the PyTorch Blog, PyTorch Conference North America 2026 drew more than 3,500 attendees to San Jose on October 20–21 for discussions on open intelligence, research, models, infrastructure, hardware and production. The event introduced TorchTPU, an open-source Google and Meta collaboration providing a native PyTorch backend for Google TPUs, and launched an Apache 2.0 public beta of TorchNeuron, a native backend for AWS Trainium. Other updates covered compiler development for IBM Spyre and an optional backend for AMD MI350-series GPUs. TorchTitan also expanded model support across its 5D parallelism stack and added reinforcement learning through TitanRL.

   PyTorch Blog · 🔥 0
2. Oct 21
   TorchTitan Adds New Model Support, TitanRL and Scaling Improvements

   PyTorch reports that TorchTitan, a PyTorch-native platform for generative AI pretraining and post-training, now supports Muse Spark Open, Muse Glimmer, Qwen3-VL, Qwen3.5, Kimi K2.7, Kimi K3 and DeepSeek-V4 through full training-stack integrations. The update adds the TitanRL reinforcement-learning stack, asynchronous rollouts, FlexShard and Dist-MoE integrations, and distributed checkpointing improvements. PyTorch also reports internal benchmarks for these features, but the announcement is a single vendor source and does not provide an independent comparison with other training frameworks.

   PyTorch Blog · 🔥 0

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