Previous PyTorch Versions
Access and install previous PyTorch versions, including binaries and instructions for all platforms.| PyTorch
Intel announces a major enhancement for distributed training in PyTorch 2.8: the native integration of the XCCL backend for Intel® GPUs (Intel® XPU devices). This provides support for Intel® oneAPI...| PyTorch
Key takeaways: PyTorch and vLLM have been organically integrated to accelerate cutting-edge generative AI applications, such as inference, post-training and agentic systems. Prefill/Decode Disaggregation is a crucial technique for enhancing...| PyTorch
As training jobs become larger, the likelihood of failures such as preemptions, crashes, or infrastructure instability rises. This can lead to significant inefficiencies in training and delays in time-to-market. At...| PyTorch
Access and install previous PyTorch versions, including binaries and instructions for all platforms.| PyTorch
