AMD AI Solutions
…AMD Ryzen AI Software Take ML models trained in PyTorch or TensorFlow and run them on select laptops powered by AMD Ryzen AI technology. AMD Enterprise AI Suite The AMD Enterprise AI…
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PyTorch
Videos
More videosUC Davis Accelerates GenAI for Data Visualization
…Using Intel® Extension for PyTorch* and high-performance Intel® GPUs, the team designed and trained a stable diffusion control pipeline, enabling prompt-driven material creation for visualization and rendering tasks. Intel® Data…
Corsair unveils new ‘Pro’ PCs for AI development - KitGuru
…The systems can be ordered with a pre-validated software stack that includes pre-installed versions of PyTorch and TensorFlow calibrated to the specific hardware layout, along with pre-configured Docker and…
Rebellions eyes global expansion with rack-scale AI platform
…We're told the platform runs on open source frameworks like vLLM, PyTorch, and Triton. For disaggregated inference, it's using llm-d, another open source framework that enables compute-heavy prefill…
Discussions and forums
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
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Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
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Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
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Show HN: I built a 2nd-order PyTorch optimizer for LLMs that runs on 16GB GPUs
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…
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Show HN: Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon
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 …
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Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints | NVIDIA Technical Blog
…Customization of Qwen3.5 for domain-specific tasks is facilitated by the NVIDIA NeMo framework, which provides PyTorch-native high-throughput fine-tuning, Slurm and Kubernetes multinode support, and Hugging Face integration…
CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features | NVIDIA Technical Blog
…This means zero-copy interoperability without manual pointer management. # Share a CuPy stream with PyTorch pytorch_stream = torch.cuda.ExternalStream(cupy_stream) # Or import an external stream into CuPy cupy_stream = cupy…
Microsoft Azure
…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…
Fine-Tuning Text Classification with Intel® Neural Compressor
…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…
Seekr: Building Trustworthy LLMs for Evaluating & Generating Content...
…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…
NVIDIA Nsight Copilot
…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…