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Edge AI platforms, compared on what locks you in.

Most comparisons stop at TOPS, watts, and price. The decisions that hurt years later are about lock-in: can someone else build a second source, can you keep one SDK, and can you still get parts in year eight? Here's how E1M compares.

CapabilityAlp E1MNVIDIA JetsonGoogle CoralHailoRockchip RK3588
Open, published standardYes — CC BY-SA 4.0NoNoNoNo
Cross-vendor second sourceOpen to any vendor — today one vendor per footprintNoNoNoNo
Pin-compatible carrier across siliconWithin each footprint (e.g. E1M-X V2N ↔ V2N-M1)Within familyNoNoBoard-specific
One SDK across multiple silicon vendorsYes — Alp SDKNVIDIA onlyCoral onlyHailo onlyRockchip only
Heterogeneous (Linux + RTOS) on one moduleYesLimitedNoAccelerator onlyLimited
Designed + supplied in the EUYes — SwedenNoNoNoNo
10-year supply commitmentYes — published lifecycle statement (LCS-E1M-001), subject to silicon supplyRoadmap-dependentRoadmap-dependentRoadmap-dependentRoadmap-dependent

Comparison of platform model (open standard vs single-vendor), not a device-level benchmark. Incumbents are strong products; the axis here is lock-in vs openness.

Compare E1M to a specific platform

The short version

Jetson, Coral, Hailo, and Rockchip are all single-vendor platforms: a proprietary footprint, a vendor-specific SDK, and a roadmap you don't control.E1M is an open standard — a published footprint any silicon vendor can build to, pin-compatible modules within each footprint, oneSDKacross Alif, Renesas, and DeepX silicon, and a published 10-year lifecycle statement. You keep the performance options open and the lock-in out.

See the open standard for yourself.