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…While developers have attempted to implement these operations directly in PyTorch over the years, the general-purpose design of PyTorch leaves performance on the table for the specialized spatial and force calculation…
…Meituan also integrates Intel® Extension for PyTorch (Intel® IPEX) to accelerate PyTorch. Intel IPEX is an open-source extension project launched by Intel, implemented based on the PyTorch extension mechanism. By providing…
…2 Intel® Optimization for PyTorch* + Intel® Extension for Scikit-learn* Alongside HippoScreen’s proprietary algorithms, the deep learning models of Intel-optimized PyTorch such as SCCNet, EEGNet, and Shallow ConvNet, are mixed…
…Download Nsight Deep Learning Designer Request Access to Nsight Deep Learning Designer 2026.1 Preview Nsight Deep Learning Designer 2026.1 adds support to import PyTorch models directly into NDLD as XDL…
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
Hi HN,I'm Danilo. I've been struggling with the limitations of AdamW when fine-tuning LLMs locally. Second-order optimizers (like Shampoo or SOAP) offer significantly better step-convergence by exploiting Kronecker-facto…
I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work …
…The Exabox will reportedly ship in a ready state for handling Tinygrad, PyTorch, and others. While costing ten million dollars and the hardware specs have yet to be finalized, their claim is…
…To address this challenge, today we are announcing the availability of AutoDeploy as a beta feature in TensorRT LLM. AutoDeploy compiles off-the-shelf PyTorch models into inference-optimized graphs. This avoids…
…NumPy with AOCL SciPy with AOCL PyTorch with AOCL NumExpr with AOCL SciPy Sparse Extension with AOCL Highlights of release 5.3 on AMD Zen CPU Architecture Enhanced PyTorch performance with AOCL…
…Start with a Pre-trained Model Use a pre-trained model in PyTorch or TensorFlow as your starting point. Then convert your model to the ONNX format, which is compatible with the…
…USB-C® interface for Windows, Linux, Android compatibility; also supports AI frameworks like TensorFlow, PyTorch, and ONNX TAIPEI, Taiwan, April 1, 2026 — ASUS today announced the UGen300 USB AI Accelerator — the first…
…Intel's XPU backend has been upstreamed into mainline PyTorch, meaning any Arc GPU can run PyTorch workloads natively without a separate extension. vLLM also has an official XPU backend that supports…
