diff --git a/docs/developer-guide/emt-architecture-overview.md b/docs/developer-guide/emt-architecture-overview.md
index 8694d32fb6..011da56d92 100644
--- a/docs/developer-guide/emt-architecture-overview.md
+++ b/docs/developer-guide/emt-architecture-overview.md
@@ -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
@@ -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.
@@ -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
 
@@ -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
@@ -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}
diff --git a/docs/developer-guide/get-started/deployment/emt-vm-host-setup.md b/docs/developer-guide/get-started/deployment/emt-vm-host-setup.md
index ed2c1e9f78..92904d8288 100644
--- a/docs/developer-guide/get-started/deployment/emt-vm-host-setup.md
+++ b/docs/developer-guide/get-started/deployment/emt-vm-host-setup.md
@@ -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
 
 | | | |
diff --git a/docs/developer-guide/get-started/deployment/emt-vm-host.md b/docs/developer-guide/get-started/deployment/emt-vm-host.md
index 03631ace4a..6eb6c40778 100644
--- a/docs/developer-guide/get-started/deployment/emt-vm-host.md
+++ b/docs/developer-guide/get-started/deployment/emt-vm-host.md
@@ -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.
diff --git a/docs/developer-guide/index.md b/docs/developer-guide/index.md
index f27631f5ee..c733ab816c 100644
--- a/docs/developer-guide/index.md
+++ b/docs/developer-guide/index.md
@@ -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.