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ZC

Zephyr Computing Systems

Zephyr Computing Systems develops customizable, space-grade edge computing hardware, including AI-ready GPUs and multi-architecture processors, specifically designed for spacecraft. Their technology enhances on-orbit capabilities by enabling real-time data processing, autonomous operations, and efficient sensor management in challenging space environments.

Oakland, United StatesFounded 202111500+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Spacecraft face limitations in processing power due to the harsh radiation environment and constraints on size, weight, and power (SWaP). This restricts their ability to perform complex data analysis, autonomous operations, and real-time sensor management on orbit.

Solution

Zephyr Computing Systems provides space-grade edge computing solutions that enable advanced processing capabilities directly on spacecraft. Their customizable hardware includes radiation-tolerant GPUs, multi-architecture processors, and high-capacity storage designed to withstand the rigors of space. These systems facilitate on-orbit data reduction, artificial intelligence inference, and autonomous decision-making, reducing reliance on ground stations and improving mission efficiency. Zephyr's developer-ready operating system, built on Linux with Yocto, supports machine learning, AI, and edge computing applications, while incorporating security and encryption across hardware, firmware, and the OS.

Target Audience

Zephyr's primary customers are satellite manufacturers, space agencies, and research organizations seeking to enhance on-orbit processing capabilities for Earth observation, communications, and scientific missions.

Features

  • Falcon: Advanced GPU platform for demanding space-based workloads
  • Kestrel: Entry-level general-purpose GPU platform optimized for SmallSats
  • Wasp: Multi-architecture processor featuring CPU, FPGA, DSP, and AI Engines
  • Pelican: Computational storage solution with over 2TB SSD capacity
  • Linux-based operating system built with Yocto, pre-configured for AI/ML applications
  • Hardware, firmware, and OS-level security and encryption
  • Support for hyperspectral analysis, pattern recognition, SDR-based detection, SAR image generation, and image processing
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