rapidsai / dask-cuda
Utilities for Dask and CUDA interactions
☆303Updated this week
Alternatives and similar repositories for dask-cuda:
Users that are interested in dask-cuda are comparing it to the libraries listed below
- JupyterLab extension for Dask☆321Updated last month
- RAPIDS GPU-BDB☆108Updated last year
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆136Updated 5 years ago
- Dockerfile templates for creating RAPIDS Docker Images☆77Updated this week
- KvikIO - High Performance File IO☆203Updated this week
- Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...☆140Updated 2 months ago
- GPU accelerated cross filtering with cuDF.☆288Updated this week
- Python bindings for UCX☆129Updated this week
- A multi-tenant server for securely deploying and managing Dask clusters.☆140Updated this week
- RFC document, tooling and other content related to the array API standard☆232Updated last week
- Native Kubernetes integration for Dask☆320Updated last month
- The Foundation for All Legate Libraries☆211Updated this week
- Jupyter notebook server extension to proxy web services.☆364Updated last week
- An Aspiring Drop-In Replacement for Pandas at Scale☆75Updated 3 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.☆640Updated last week
- High performance model preprocessing library on PyTorch☆650Updated last year
- RAPIDS Community Notebooks☆533Updated 2 months ago
- Deploy Dask on job schedulers like PBS, SLURM, and SGE☆247Updated last week
- Scalable Machine Learning with Dask☆927Updated 2 months ago
- RAPIDS Sample Notebooks☆578Updated last year
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆358Updated last week
- Docker images for dask☆240Updated 3 weeks ago
- Easy-to-run example notebooks for Dask☆378Updated last year
- Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP impleme…☆369Updated last month
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆141Updated 5 months ago
- A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.☆136Updated this week
- RAPIDS Deployment Documentation☆11Updated this week
- A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python☆320Updated 6 months ago
- RAPIDS Memory Manager☆569Updated this week
- Deploy Dask using MPI4Py☆55Updated last week