#Intel

Discover Intel's neon, a deep learning framework no longer maintained but offering multi-hardware efficiency. Supporting convolution, RNN, and LSTM layers, it provides out-of-the-box models for immediate application. Known for its rapid iteration capabilities, it outperforms many in speed. Seamless transitioning across CPU, GPU, and Nervana hardware is supported. With Intel discontinuing support, the project invites continued community engagement through forking and maintaining.

Explore a library designed for accelerating LLMs on Intel CPUs, GPUs, and NPUs. Seamlessly integrating with frameworks such as transformers and vLLM, it optimizes over 70 models for better performance. Latest updates feature GraphRAG support on GPUs and comprehensive multimodal capabilities like StableDiffusion. With low-bit optimizations, it enhances processing efficiency on Intel hardware for large models. Discover new LLM finetuning and pipeline parallel inference advancements with ipex-llm.

Discover the newest updates in AI chip technology involving key players such as NVIDIA, Qualcomm, and Intel, along with various AI startups. Gain insights into NVIDIA's recent projects, Intel's new AI processor generation, and Qualcomm's mobile and cloud AI solutions, while staying updated on industrial trends from IC vendors and leading-edge companies in the AI field. Evaluate AI benchmark results to understand the current technological progress.

Discover a comprehensive library of samples for Intel® oneAPI Toolkits, offering resources in AI, analytics, and programming. Access samples customized for CPUs, GPUs, and FPGAs, in languages such as C++, Python, and Fortran. Use the catalog to filter samples by expertise, target device, and more. Download current or previous versions via Git commands or ZIP files efficiently. Utilize introductory guides for AI tools and rendering workloads, and master build file customization. Enjoy seamless development with IDEs like Visual Studio Code.