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kblaszczak-intel merged 2 commits into from
Dec 2, 2025
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[DOCS] links to spec files with patches and sources #615

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12419e5
[DOCS] spec links and TSN info
mpytlik-intel Dec 2, 2025
db3895e
[DOCS] spec links external
mpytlik-intel Dec 2, 2025
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20 changes: 19 additions & 1 deletion docs/developer-guide/emt-architecture-overview.md
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Expand Up @@ -74,6 +74,9 @@ monitoring tools, cloud-native software, and other edge software.
If quick responses to critical events are crucial for
your use case, you can use the [kernel with real-time extensions](#preempt-rt-kernel).

> **Note:** You can learn more about specific kernel patches and the features they address in the relevant
> [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec)

### Standalone Node immutable RAW images

The Standalone Node is an immutable, ready-made solution for deploying and validating Edge AI applications. It uses Secure
Expand Down Expand Up @@ -102,6 +105,9 @@ Ubuntu guest virtual machines. This image includes Kubevirt and Intel IDV (Intel
Desktop Virtualization) services for launching the virtual machines with SR-IOV capabilities.
This image uses the standard linux kernel.

> **Note:** You can learn more about specific kernel patches related to Kubevirt and Intel IDV
> in the relevant [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec)

## Edge Microvisor Toolkit Real Time

To support workloads that have real-time requirements, a dedicated image is generated.
Expand Down Expand Up @@ -132,7 +138,10 @@ The patch refines locking mechanisms, reducing the time when critical sections c
interrupted. This improves the overall responsiveness and guarantees that the system can
handle real-time workloads with minimal jitter.

> **Note:** You can learn more about preempt Kernel and its features at the [Linux Intel LTS Kernel Github](https://github.com/intel/linux-intel-lts/blob/main/README.md)
> **Note:** You can learn more about preempt Kernel and its features at the
> [Linux Intel LTS Kernel Github](https://github.com/intel/linux-intel-lts/blob/main/README.md).
> You can learn more about specific kernel patches related to preempt RT Kernel in the relevant
> [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec).

### perf tool

Expand Down Expand Up @@ -172,6 +181,9 @@ including, Cache Monitoring Technology (CMT), Memory Bandwidth Monitoring
(CDP) and Memory Bandwidth Allocation (MBA). These technologies facilitate pinning workloads
and isolating specific CPU cores, assigning them to specified tasks.

> **Note:** You can learn more about specific kernel patches related to Resource Director
> Technology in the relevant [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec)

### cpupower

`cpupower` is a general tool for controlling CPU power management on Linux, essential
Expand Down Expand Up @@ -455,6 +467,12 @@ for more details. Visit the
[GitHub page](https://github.com/slimbootloader/slimbootloader)
for deployment instructions and full source code.

## Time-Sensitive Networking support

EMT supports time-sensitive networking through custom patches and optimizations in
[linuxptp](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/linuxptp/linuxptp.spec), [ethtool](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/ethtool/ethtool.spec)
and [xdp-tools](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/xdp-tools/xdp-tools.spec). Click on any of the names to go to
their SPEC files and learn about specific patches related to TSN optimizations.

<!--hide_directive
:::{toctree}
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3 changes: 3 additions & 0 deletions docs/developer-guide/get-started/deployment/emt-vm-host-setup.md
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Expand Up @@ -9,6 +9,9 @@ to set up an Ubuntu 22.04 hypervisor for hosting guest VMs.
You can [build the kernel](#build-custom-intel-kernel) either on an Ubuntu 22.04 host
or in an Ubuntu 22.04 docker container on an Ubuntu host.

> **Note:** You can learn more about specific kernel patches related to VM hosting and
> SR-IOV implementation in the relevant [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec)

## Required Host BIOS Settings

| | | |
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3 changes: 3 additions & 0 deletions docs/developer-guide/get-started/deployment/emt-vm-host.md
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Expand Up @@ -24,6 +24,9 @@ sudo vim /etc/default/grub
sudo grub2-mkconfig -o /boot/grub2/grub.cfg "$@"
```

> **Note:** You can learn more about specific kernel patches related to VM hosting and
> SR-IOV implementation in the relevant [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec)
## Hosting Guest VMs under EMT

1. Transfer the prepared Guest VM images to a bootable USB Drive.
Expand Down
3 changes: 3 additions & 0 deletions docs/developer-guide/index.md
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Expand Up @@ -25,6 +25,9 @@ Through its optimizations for Intel platforms, Edge Microvisor Toolkit showcases

Edge Microvisor Toolkit has undergone extensive validation across the Intel Xeon®, Intel® Core Ultra™, Intel Core™, and Intel® Atom® processor families. The toolkit provides robust support for integrated and Intel discrete GPU cards as well as an integrated NPU. There are pre-tuned drivers and acceleration libraries for Intel® CPUs and GPUs.

> **Note:** You can learn more about specific kernel patches related to GPU and NPU support
> in the relevant [SPEC file](https://github.com/open-edge-platform/edge-microvisor-toolkit/blob/3.0/SPECS/kernel/kernel.spec)
The kernel used in the developer node of Edge Microvisor Toolkit, for example, includes the following: iGPU, dGPU (Intel® Arc™), SR-IOV, WiFi, Ethernet, Bluetooth, GPIO, UART, I2C, CAN, USB, PCIe, PWM, SATA, NVMe, MMC/SD, TPM, Manageability Engine, Power Management, Watchdog, and RAS.

Intel® Arc™ B-Series Graphics and other components are discoverable for containerized applications and VMs with pass-through mode to deliver processing power to distributed applications at the edge -- and that processing power can be fine tuned to minimize latency.
Expand Down
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