AI Inference
at the Edge
Redefining AI at the Edge
Bring real-time AI to SWaP-constrained edge systems—delivering breakthrough performance at ultra-low power, with the flexibility to adapt as your mission evolves.
Maximum AI, Minimum SWaP - Built for Power-Constrained Edge Systems
- Run advanced edge AI without blowing your power budget. Midnight delivers high-performance, real-time AI processing while maintaining a low-power profile for SWaP-constrained deployments.
- Scale performance or power on demand. Because the architecture is software-defined, you can increase parallelism to hit your throughput/latency target and optimize power/performance to match the mission.
- Edge autonomy, not edge compromise. Enable systems to see, decide, and act instantly where cloud reliance isn’t possible, closing the performance-vs-portability gap for real-time edge intelligence.
ASIC-Level Performance Meets Software-Defined Flexibility at the Edge
- ASIC-level speed and efficiency without sacrificing programmability. Get hardware acceleration with a re-programmable platform that keeps your AI pipeline adaptable as models evolve.
- C-programmable development with deterministic performance. Build in familiar software workflows while achieving ASIC-like results where it matters most.
- Re-programmable by design for rapid updates. Change models, refine features, and deploy improvements fast, without a full hardware redesign cycle.
- Future-proof your AI investment. Avoid one-and-done silicon by combining ASIC-class performance with software-defined flexibility that keeps pace with new networks and requirements.
Beyond Inference - Multi-Modal Processing on One Platform
- Do more than inference on one device. Neural network inference can consume less than a fraction of available resources, leaving substantial compute for the rest of your system.
- Keep the full application stack on-chip. Run key vision workloads like sensor interfacing, image scaling and manipulation, and output formatting alongside your AI engine.
- Built for true multi-modal performance. Midnight’s architecture enables more of the end-to-end workload to execute efficiently on the same device.
- Simplify the system architecture. Integrating more functions on one SoC creates a simpler, smaller, and more reliable system with fewer external components and interfaces.
- Support an integrated computer vision flow from image injection through post-processing on a single processor.
