Intel® oneAPI products will deliver the tools needed to deploy applications and solutions across scalar, vector, matrix, and spatial (SVMS) architectures. Its set of complementary toolkits—a base kit and specialty add-ons—simplify programming and help developers improve efficiency and innovation. oneAPI Details
Containers allow you to set up and configure environments for profiling and distribute them using images:
- You can install an image containing an environment pre-configured with all the tools you need, then develop within that environment.
- You can save an environment and use the image to move that environment to another machine without additional setup.
- You can prepare containers with different sets of languages and runtimes, analysis tools, or other tools, as needed.
- You can use runtime containers to execute your applications built with oneAPI toolkits.
oneAPI Containers Get Started Guide
Explore more containers, models, and more on the Intel® oneContainer Portal
Note: CentOS* 8 - based containers are deprecated and no longer supported. Details.
You may still find the CentOS Dockerfile, but it is no longer being updated.
By downloading and using this container and the included software, you agree to the terms and conditions of the software license agreements.
Get started running or deploying applications built with oneAPI toolkits.
image=intel/oneapi-runtime
docker pull "$image"
docker run --device=/dev/dri -it "$image"
Get started with this foundational kit that enables developers of all types to build, test, and deploy performance-driven, data-centric applications across CPUs, GPUs, and FPGAs. Base Kit Details
image=intel/oneapi-basekit
docker pull "$image"
docker run --device=/dev/dri -it "$image"
Deliver fast C++, Fortran, OpenMP, and MPI applications that scale. HPC Kit Details
image=intel/oneapi-hpckit
docker pull "$image"
docker run --device=/dev/dri -it "$image"
Build high-performing, efficient, reliable solutions that run at the network’s edge. IoT Kit Details
image=intel/oneapi-iotkit
docker pull "$image"
docker run --device=/dev/dri -it "$image"
Build deep learning frameworks or customize existing ones. DLFD Kit Details
image=intel/oneapi-dlfdkit
docker pull "$image"
docker run --device=/dev/dri -it "$image"
Speed AI development with tools for DL training, inference, and data analytics. AI Kit Details
image=intel/oneapi-aikit
docker pull "$image"
docker run --device=/dev/dri -it "$image"
If you are behind a proxy, you may need to add proxy settings with docker run
commands: -e http_proxy="$http_proxy" -e https_proxy="$https_proxy"
For example:
docker run --device=/dev/dri -e http_proxy="$http_proxy" -e https_proxy="$https_proxy" -it "$image"
When using these tools, extra capabilites have to be provided to the container: --cap-add=SYS_ADMIN --cap-add=SYS_PTRACE
docker run --cap-add=SYS_ADMIN --cap-add=SYS_PTRACE --device=/dev/dri -it "$image"