AMD at PyTorch Conference Europe
AMD at PyTorch Conference Europe Apr 16, 2026 The inaugural PyTorch Conference Europe held April 7-8, 2026 at Station F in Paris, marked a significant milestone for the global AI community…
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AMD at PyTorch Conference Europe Apr 16, 2026 The inaugural PyTorch Conference Europe held April 7-8, 2026 at Station F in Paris, marked a significant milestone for the global AI community…
Authors By Ramya Ravi, AI software marketing engineer, Intel | LinkedIn* Urszula Zofia Gumińska, development tools software engineer, Intel | LinkedIn Chandan Damannagari, director of AI software, Intel | LinkedIn Overview PyTorch* is a Python…
By Authors Jiong Gong, Weiwen Xia Introduction INT8 quantization is one of the key features in PyTorch* for speeding up deep learning inference. By reducing the precision of weights and activations in…
…CPU Dynamic Shapes Inference Path for torch.compile Dynamic shapes is one of the key features in PyTorch 2.0. PyTorch 2.0 assumes everything is static by default. If we recompile…
The smile-deep module provides idiomatic Java API for deep learning on the JVM while still reaching CPU, CUDA, and MPS backends by wrapping the PyTorch / LibTorch C++ runtime. It also provides tiktoken BPE tokenizer, LLa…
Show HN: Alloy – a PyTorch backend and inference engine for Apple Silicon
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
…A more detailed discussion over PyTorch Gaudi Theory of Operations can be found at [16]. Run Inference Using BF16 & FP8 with PyTorch Autocast and Intel® Neural Compressor Mixed-precision quantization allows deep…
By Overview This document provides an overview of the prerequisites, release notes, and known issues associated with building PyTorch v2.5 from source with support for Intel® GPUs. All the required software…
…Intel’s PyTorch Contributions at a Glance Intel, actively involved in the PyTorch community, ranks among the top contributors and provides numerous optimizations that enhance performance on Intel architecture. Intel started contributing…
…Intel Compiler & PyTorch Teams Introduction The performance of PyTorch-based AI applications and scalability across different platforms can greatly benefit from native C++ kernels that they use, taking full advantage of the…
Announced today from the PyTorch Conference EU in Paris is word that Hugging Face has contributed their Safetensors project to the PyTorch Foundation, which is an umbrella organization under the Linux Foundation…
AMD has finally enabled PyTorch support on Windows for Radeon RX 9000, RX 7000 GPUs & Ryzen AI APUs with ROCm 6.4.4. AMD Radeon RX 9000, RX 7000 GPUs, & Ryzen AI…