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PyTorch/XLA

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2

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Google and Meta open-source TorchTPU to provide native PyTorch backend for Google TPUs

Google, in collaboration with Meta, open-sourced TorchTPU, a native PyTorch backend for Google TPUs that prioritizes eager execution while also supporting compiled modes, distributed training, and hardware optimizations; migrating common PyTorch code generally requires only swapping cuda->tpu and nccl->tpu_dist or using torch.accelerator. Google validated TorchTPU across ~5,000 Hugging Face models and reported single-TPUv7 inference of 25.7k token/s (seq_len 5120) and 22.4k token/s (seq_len 10240) for a 30B Muse Glimmer model, plus multi-chip training numbers and large-scale MoE experiments up to 8,192 TPUv7 chips.

8.0

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

Google open-sources ML Drift GPU engine for on-device AI inference

Google released ML Drift, an Apache-2.0 open-source, cross-platform GPU compute engine for on-device AI and ML inference that abstracts multiple low-level APIs (OpenGL ES, OpenCL, Metal, WebGPU). ML Drift powers LiteRT, adds unified shaders via tensor virtualization, extensible custom ops, 5D tensor support, and hardware-specific optimizations for Arm, Intel, and Qualcomm GPUs; Google says it replaces the legacy TensorFlow Lite GPU delegate and reports lower memory overhead and app-level latency improvements in Chrome, YouTube Shorts, Photos, Adobe apps, and Snapchat.

8.0