Getting Started

Intel® ESQ runs on a range of supported platforms with discrete GPU and NPU accelerators. The architecture adapts to the available hardware, exercising compute resources through a structured stack of runtimes, test suites, and application-level workloads.

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    A_OV["OpenVINO*"] A_DLS["DL Streamer*"] A_OVMS["OVMS*"] A_VLLM["vLLM*"] A_APP1["STREAM*"] S_OTH_APP["App-N"]

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    S_AI["AI"] S_VSN["Vision"] S_SYS["System"] S_RT["Real-Time"] S_VRT["Vertical"] S_OTH["Test Suite-N"]

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        space RUN_DK["Docker*"] RUN_PY["Python*"] RUN_ND["Node.js*"] space
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    block:OS_BLK:6
        columns 5
        space:2 OS_HDR["Operating system"] space:2
        space:2 OS_UBUNTU["Ubuntu*"] space:2
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The following table describes each component in the stack, from the application layer down to the operating system foundation.

Layer	Description
Applications and Components	Workloads and services exercised by test cases — OpenVINO™ toolkit, Intel® DL Streamer*, OVMS*, vLLM*, and custom applications
Test Cases	Individual parameterized test cases within each suite, each targeting a specific workload or use case
Test Suites	Domain-specific test suites — AI, Vision, System, Real-Time, Vertical, and extensible custom suite types
CLI	Intel® ESQ command-line interface — the primary entry point for running tests, managing profiles, and viewing results
Runtimes	Docker*, Python*, and Node.js* runtime environments required for test execution and containerized workloads
Operating System	Ubuntu* as the supported base Linux* distribution

Next Steps

1. Quick Start – Install dependencies and run all tests.

Need Help?

If you encounter issues during setup:

1. Refer to the Optimization guide.
2. Check the Troubleshooting guide.
3. Visit GitHub* Issues for community support.

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