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SOAFEE (Scalable Open Architecture for Embedded Edge) is an industry-led architecture and collaboration effort that applies cloud-native development practices to automotive software. It is designed to let teams develop and test workloads in cloud or virtual environments, then deploy them on heterogeneous vehicle computers while accounting for safety, security, timing and resource constraints. SOAFEE is not a single Arm product, a cloud service or a blanket safety certification.

What SOAFEE is—and what it is not

The current SOAFEE site describes the initiative as a working group within the CoreCollective Open Collaboration Initiative. Its purpose is to unite automakers, suppliers and technology companies around an open architecture for software-defined vehicles.

That distinction matters. SOAFEE defines architectural practices, interfaces and reference material; individual members supply implementations, tools and vehicle programs. The title’s reference to Arm should therefore not be read as a standalone Arm automotive cloud product. A SOAFEE-based system can combine software from several vendors and run on different embedded platforms.

The initiative’s charter frames the vision as bringing “cloud-native development paradigm and its ubiquitous ecosystem” to the diverse compute platforms used by automotive and other safety-critical systems.

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Why automotive software needs a cloud-to-vehicle architecture

Cloud-native teams commonly rely on containers, automated builds, orchestration and virtual test environments. Vehicle software has additional constraints: processors and accelerators differ between vehicle programs, network and timing behavior are bounded, and workloads may have different safety and security criticalities on the same computer.

SOAFEE’s architecture addresses this combination by separating software packaging and development workflows from the exact vehicle hardware, while still requiring a path to embedded deployment. Its scope includes workloads with:

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  • safety and security requirements;
  • real-time and temporal-partitioning requirements;
  • spatial isolation requirements; and
  • different resource and operating-system needs on shared vehicle computers.

These are requirements the architecture is intended to address. They do not prove that every SOAFEE deployment is safe, certified or suitable for a particular production vehicle.

How the “develop in the cloud, deploy at the edge” workflow works

  1. Package software using standard interfaces. The v1.0 architecture identifies an OCI-compliant container engine and runtime, giving applications a common packaging and execution model.
  2. Develop and test before target hardware is available. Teams can use cloud or virtual environments for application work, integration and software-in-the-loop testing.
  3. Coordinate workloads. SOAFEE v1.0 names Kubernetes-compatible workload orchestration. That describes compatibility with an orchestration model; it does not mean every vehicle runs an unmodified Kubernetes distribution.
  4. Move the same application concepts toward embedded targets. The goal is to reduce rework when software moves from a virtual environment to vehicle-edge computers with different processors, accelerators or operating systems.
  5. Validate on the actual vehicle platform. Virtual execution can improve iteration speed, but physical hardware remains necessary to verify timing, I/O, resource limits, network behavior and the safety case for a real system.

The architecture describes environmental parity as a goal: a virtual or cloud environment should be useful enough to expose problems before target hardware is available. It does not establish universal equivalence between simulation and production vehicle behavior.

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What SOAFEE v1.0 specifies

SOAFEE’s architecture documentation identifies the following elements for its published v1.0 architecture:

Element What it means in practice Qualification
OCI-compliant container engine and runtime Applications can use a standards-based container packaging and execution model. An OCI interface does not by itself solve real-time, safety or hardware-integration requirements.
Kubernetes-compatible workload orchestration Workload descriptions and lifecycle concepts can align with Kubernetes-compatible orchestration. The documentation does not say that every in-vehicle deployment uses stock Kubernetes.
Develop-in-cloud, deploy-at-edge workflow Cloud or virtual development is connected to deployment on vehicle computers. Useful parity must still be demonstrated for each target platform and workload.
CI-supported reference implementation maintenance Continuous-integration practices help maintain and test the reference implementation. This is an engineering and maintenance approach, not a production certification.
Standards-based firmware platforms Firmware and low-level platform integration are treated as standardised architectural concerns. Actual hardware support depends on the implementation and vehicle program.

The documentation names EWAOL (Edge Workload Abstraction and Orchestration Layer) as the reference implementation expressing that release. EWAOL is therefore a concrete implementation of the architecture, not a synonym for SOAFEE itself.

SOAFEE architecture versus member blueprints

SOAFEE also publishes blueprints: member contributions that demonstrate applications, tools or technology patterns using the architecture. A blueprint is an example implementation, not a mandatory SOAFEE component.

Blueprint example Focus Capabilities described by the contributor Evidence status
Panasonic Automotive Systems’ vSkipGen Virtual cockpit-domain-controller development Panasonic’s 31 March 2026 article describes VirtIO-based device virtualisation, multiple guest operating systems, and cloud, on-premises, simulation and browser-streaming workflows. Vendor-authored blueprint description; not an independent benchmark of every claimed capability.
EPAM’s AosEdge Vehicle-edge deployment and orchestration EPAM’s 3 June 2025 article describes an in-vehicle runtime paired with a cloud backend. Vendor-authored example of one deployment approach; not a universal SOAFEE runtime.

SOAFEE’s 2025 blueprint campaign announcement also describes work around cloud-native tooling, MLOps, virtual development and safety-critical workloads. Those subjects show the breadth of the program, while the individual blueprints show how members choose to implement it.

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What SOAFEE does not guarantee

  • Automatic safety compliance: adopting the architecture does not certify a vehicle against ISO 26262, cybersecurity regulations or another required standard.
  • Identical cloud and vehicle behavior: simulation and virtualisation can differ from physical timing, sensors, buses, accelerators and failure modes.
  • Complete hardware independence: applications still depend on platform drivers, firmware, accelerators, memory, real-time behaviour and integration work.
  • A single required product stack: SOAFEE is an open architecture and collaboration effort, while EWAOL and member blueprints are implementations or examples.
  • A guaranteed production outcome: the available material establishes goals and architecture elements, not universal deployment results, cost savings or performance improvements.

What an engineering team should verify before adopting it

  1. Confirm the target release. SOAFEE announced its initial Architecture v1.0 release on 5 April 2023 in its official release notice. The available documentation still discusses v1.0, but the sources do not establish that it is the latest authoritative architecture. Check the official release channels before fixing version numbers in a project.
  2. Map workloads to criticality and timing. Identify which tasks are safety-related, real-time, security-sensitive or isolated from one another before selecting containers, operating systems and orchestration policies.
  3. Choose the reference implementation or another conforming stack. Evaluate EWAOL or a member blueprint against the actual vehicle computer, firmware, accelerators and required lifecycle controls.
  4. Define virtual-to-physical validation gates. Specify which tests run in cloud simulation, which require hardware-in-the-loop and which must run on the production configuration.
  5. Audit supplier claims separately from architecture requirements. Ask vendors for supported hardware, guest operating systems, timing limits, update mechanisms, security evidence and certification artifacts rather than treating a blueprint description as proof of compliance.

Why SOAFEE matters for software-defined vehicles

SOAFEE’s central contribution is a common way to discuss automotive software across cloud tooling and embedded deployment. It gives teams standards-oriented building blocks and a shared workflow for moving from virtual development toward vehicle-edge execution, while acknowledging that mixed-criticality and hardware constraints cannot be abstracted away completely.

For developers, the practical value is earlier integration and more reusable automation. For vehicle manufacturers and suppliers, the open architecture can provide a common reference point when comparing platforms. The final safety case, hardware integration and production qualification still belong to each vehicle program.

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