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By Intel® Neural Compressor is an open source Python* library designed to help quickly optimize inference solutions on popular deep learning frameworks (TensorFlow*, PyTorch, Open Neural Network Exchange [ONNX*] runtime, and MXNet…
…Microsoft* "The Intel team's optimization of fMRI and PadChest models using Intel® Extension for PyTorch* and OpenVINO™ toolkit powered by oneAPI, leading to approximately 6x increase in performance, tailored for medical…
…Building an End-to-End AI Solution Using PyTorch* How to Build an Interactive Chat-Generation Model Using DialoGPT and PyTorch* Accelerate PyTorch Training and Inference Performance Using Intel AMX See All…
…Nsight Copilot for Visual Studio Code This video shows how to convert a simple PyTorch operation into an optimized CUDA kernel with Nsight Copilot. Nsight Copilot for Nsight Compute This video demonstrates…
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…
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…
…Seekr LLM fine-tuning using the Hugging Face Optimum Habana and Habana PyTorch APIs. Source: Seekr. Intel does not control or audit third-party data. You should consult other sources to evaluate…
…pre \ --extra-index-url https://wheels.vllm.ai/nightly/cu129 \ --extra-index-url https://download.pytorch.org/whl/cu129 \ --index-strategy unsafe-best-match Fine-tuning with NVIDIA NeMo Framework Kimi K2…
…This is particularly useful for distributed training workloads using frameworks such as PyTorch FSDP, Megatron-LM, or NVIDIA NeMo, where training jobs are commonly configured with a fixed number of participating nodes…
…as 19 experimental kernels covering context parallelism, MXFP8 training, state-space models, and fused optimizers. PyTorch reference implementations are now available for 29 kernels. Neuron Agentic Development, launched as a beta in…
…None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Fetching 9 files: 100%|████████████████████████████████████████████████████| 9…
…To further simplify deployment, AI TOP offers pre-validated compatibility across more than 100 AI frameworks and development environments, including PyTorch, TensorFlow, and OpenClaw. By combining dedicated AI hardware, purpose-built systems…
