Tracked topic
…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…
…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…
…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* "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…
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 …
…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 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…
…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…
…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…
