Results for “cuda”
24 skills
nvidia cudaq-guide
Guide users through installing CUDA-Q, writing quantum kernels, running GPU-accelerated simulations, connecting to QPU hardware, and exploring built-in applications.
2.2k · bundle
nvidia nemo-mbridge-perf-cuda-graphs
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
2.2k · bundle
nvidia holoscan-install-conda
Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment, including Python bindings and C++ development headers.
2.2k · bundle
nvidia holoscan-install-debian
Install the Holoscan SDK C++ runtime and headers on Ubuntu using NVIDIA's apt repository, with automatic CUDA variant detection and verification via bundled examples.
2.2k · bundle
nvidia holoscan-install-container
Pull and verify the official Holoscan SDK container from NGC, selecting the correct CUDA/arch tag for the host GPU and validating with bundled Python and C++ examples.
2.2k · bundle
nvidia cuopt-developer
Modify, build, test, debug, and contribute to the NVIDIA cuOpt codebase (C++/CUDA, Python, server, CI). Includes guidance for solver internals, pull requests, DCO signoff, and code conventions.
2.2k · bundle
More results
huggingface huggingface-zerogpu
Build ML demos on Hugging Face Spaces with ZeroGPU hardware, covering @spaces.GPU decorator usage, duration and quota tuning, process isolation, CUDA availability model, concurrency safety, and build constraints.
10.8k · bundle
nvidia tao-setup-nvidia-gpu-host
Checks and installs NVIDIA driver, CUDA Toolkit, and NVIDIA Container Toolkit for GPU-accelerated Docker and Kubernetes hosts. Supports multiple Linux distributions with automated install and read-only check modes.
2.2k · bundle
nvidia mcore-run-on-slurm
Launch distributed Megatron-LM training jobs on a SLURM cluster with a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules, container conventions, monitoring, and per-rank failure diagnosis.
2.2k · bundle
nvidia cupynumeric-install
Install and verify cuPyNumeric for Python using conda or pip, including GPU usage checks.
2.2k · bundle
nvidia earth2studio-install
Guides installing Earth2Studio via uv or pip, selecting model extras, and configuring environment variables.
2.2k · bundle
nvidia cuopt-install
Install cuOpt for Python, C, or REST server via pip, conda, or Docker, and verify the installation.
2.2k · bundle
nvidia nv-segment-ctmr
Runs NV-Segment-CTMR segmentation on CT or MRI NIfTI volumes and records label-map evidence.
2.2k · bundle
nvidia holoscan-install-wheel
Install the Holoscan SDK Python wheel via pip into a virtual environment and verify with example scripts.
2.2k · bundle
nvidia accelerated-computing-cudf
Accelerate pandas workflows with GPU DataFrames using cuDF and dask-cuDF for ETL, joins, groupby, and large-scale data processing.
2.2k · bundle
nvidia holoscan-setup
Inspects the host system, assesses platform compatibility, and recommends the correct Holoscan SDK installation method, then delegates to a method-specific install skill.
2.2k · bundle
nvidia tao-mine-aoi-images
Embeds target and source image parquets, then mines nearest-neighbour source images for augmentation in VCN AOI workflows.
2.2k · bundle
nvidia cuopt-numerical-optimization-api
Model and solve LP, MILP, and QP problems using NVIDIA cuOpt's GPU-accelerated solver via Python, C/C++, or CLI interfaces.
2.2k · bundle
nvidia nv-segment-ct
Segments abdominal organs from CT NIfTI volumes using the NV-Segment-CT VISTA3D model, producing label maps and structured evidence JSON.
2.2k · bundle
nvidia nv-reason-cxr
Runs chest X-ray reasoning smoke tests using the NV-Reason-CXR-3B model via local inference or a public Hugging Face Space API.
2.2k · bundle
nvidia jetson-package
Selects Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes based on Orin SM 8.7 vs Thor SM 11.0 and JetPack version.
2.2k · bundle
nvidia tilegym-cutile-python
Write high-performance GPU kernels using cuTile's tile-based programming model with validation and optimization, including deep agent orchestration for complex multi-kernel tasks.
2.2k · bundle
nvidia tilegym-cutile-autotuning
Adds autotuning to CuTile kernels using the exhaustive_search API with a tune-once/cache/direct-launch pattern, covering occupancy-only and complex tile-size search spaces.
2.2k · bundle
nvidia nemo-mbridge-perf-memory-tuning
Reduces peak GPU memory in Megatron Bridge training by applying expandable segments, parallelism resizing, activation recompute, and CPU offloading constraints.
2.2k · bundle